diff --git a/src/rashmi's code/CellSegmentation.m b/src/rashmi's code/CellSegmentation.m
new file mode 100644
index 0000000..9e51dda
--- /dev/null
+++ b/src/rashmi's code/CellSegmentation.m	
@@ -0,0 +1,181 @@
+clc ;
+close all;
+clear all;
+%mkdir Live;
+mkdir slice;
+
+
+%% Code to write images 
+
+
+
+%open(NewObj1);
+%open(NewObj2);
+updating_array=0;
+dead_cells=0;
+total_dead_cells=0;
+total_live_cells=0;
+
+live_cells=0;
+for videos=91:91
+
+
+z=0;
+
+VidObj = VideoReader(strcat('D:\All_videos\Yeast_1\yeast00',num2str(videos),'.avi'));
+
+
+
+VidObjDat = read(VidObj);
+Nframes = VidObj.NumberOfFrames;
+vidHeight = VidObj.Height;
+vidWidth = VidObj.Width;
+mean_count=1;
+pixel_count=1;
+%% Generate Background
+a = read(VidObj,1);
+%%% average ten frames to generate background.
+bg = 0;
+count = 30 ;% set number of frame to be averaged
+N = 1; % start frame number
+for i = N:N+count
+    bg = bg +double(rgb2gray(read(VidObj,i)));
+end
+bg  = uint8(bg /count); % Final Background generated.
+%imshow(bg);
+% set appropriate cropping for the background
+%  RS = 135;% start value of the row
+ %RE = 280; % end value of the row
+  RS = 76;% start value of the row
+   RE = 280;% start value of the row
+ 
+%  RS = 493;% start value of the row
+%  RE = 638; % end value of the row
+CS = 1;% start value of the column
+CE = 216; % end value of the column
+% crop as per the following imshow(CS:CE,RS:RE)
+%imshow(bg(:,RS:RE));
+
+
+
+%% subtract all subsequent frames and write into a video. 
+      ccount = 0;
+      gccount = 0;
+    framecount = 0;
+ 
+
+ ccount = 0;
+ MAVector = 0;
+ MVector = 0;
+ framenum = 0;
+ pframenum = 0;
+
+ for k =1:Nframes
+ Copy=rgb2gray(read(VidObj,k));
+ CurrFrame = double(rgb2gray(read(VidObj,k)));
+ CurrFrame1=read(VidObj,k);
+ CurrFrame1=CurrFrame1(:,RS:RE);
+ Sub = double(CurrFrame(:,RS:RE)-double(bg(:,RS:RE)));
+ Submin = min(Sub(:));
+ Submax = max(Sub(:));
+ AdjBGSub = uint8( (Sub - Submin)/(Submax-Submin) * 255);
+ I = AdjBGSub;
+  [A, B]=size(I);
+
+%  a = uint8(min(Sub(:))*-1+Sub);
+[~, threshold] = edge(I, 'sobel');
+fudgeFactor = 1;
+BWs = edge(I,'sobel', threshold * fudgeFactor);
+se90 = strel('line', 3, 90);
+se0 = strel('line', 3, 0);
+BWsdil = imdilate(BWs, [se90 se0]);
+BWdfill = imfill(BWsdil, 'holes');
+BWdfillopen = imopen(BWdfill,strel('disk',5,4));
+BWnobord = imclearborder(BWdfillopen, 4);
+seD = strel('diamond',2);
+BWfinal = imerode(BWnobord,seD);
+BWfinal = imerode(BWfinal,seD);
+CC =bwconncomp(BWfinal);
+Areas = regionprops(CC,'Area');
+MALength = regionprops(CC,'MajorAxisLength');
+MinLength = regionprops(CC,'MinorAxisLength');
+Centroids=regionprops(CC,'Centroid');
+    
+BWthresh = imcomplement(im2bw(I,0.15));
+            % imshow(BWthresh);
+
+            % figure;
+            % imshow(uint8(BWthresh).*I);
+            % CC_par =bwconncomp(BWthresh);
+            % Centroids=regionprops(CC_par,'Centroid');
+            % Areas_par = regionprops(CC_par,'Area');
+
+for il = 1:CC.NumObjects
+
+        if(Areas(il).Area > 40 && Areas(il).Area < 45840  )
+              ccount = ccount +1;
+              gccount = gccount +1;
+               
+                CR1=round(Centroids(il).Centroid(1))-15;
+                CC1=round(Centroids(il).Centroid(2))-15;
+                CR2=round(Centroids(il).Centroid(1))+15;
+                CC2=round(Centroids(il).Centroid(2))+15;
+                if CR1 <= 0
+                CR1=1;
+                end
+                if CC1 <= 0
+                CC1=1;
+                end
+                if CR2 > B
+                CR2=B;
+                end
+                if CC2 > A
+                CC2=A;
+                end
+                
+           sliceOfImage = CurrFrame1(CC1:CC2,CR1:CR2);
+          
+           %imwrite(sliceOfImage,strcat('C:\Users\RBCCPS\Documents\MATLAB\slice/FrameNumber','-',num2str(k),'-',num2str(il),'.jpg'),'jpeg');
+            %mean(mean_count)=mean2(I(CC1:CC2,CR1:CR2));
+            %mean_count=mean_count+1;
+            %mean_slice=mean2(sliceOfImage);
+            [p, q]=size(sliceOfImage);
+            
+           % BWthresh = im2bw(sliceOfImage,0.15);
+            % imshow(BWthresh);
+
+            % figure;
+            % imshow(uint8(BWthresh).*I);
+            %CC1 =bwconncomp(imcomplement(BWthresh));
+            % Areas_stained = regionprops(CC1,'Area');
+ %           C_Percentstained = sum(struct2array(Areas_stained))/max(struct2array(Areas))*100;
+%            Percentstained = horzcat(Percentstained, C_Percentstained );
+
+             z=z+1;  %if (pixel_count ~=0)
+            pixel_count_array(z)=pixel_count;
+            
+
+                
+                        imwrite(sliceOfImage,strcat('C:\Users\RBCCPS\Documents\MATLAB\slice/FrameNumber','-',num2str(videos),'-',num2str(k),'-',num2str(il),'.jpg'),'jpeg');
+
+               
+
+                 end
+
+            end
+      end
+
+updating_array=vertcat(updating_array(:),pixel_count_array(:));
+pixel_count_array=0;
+z=0;
+videos
+end
+ %end
+%end
+
+
+
+ %end
+
+%close(NewObj1);
+%close(NewObj2);--
\ No newline at end of file
diff --git a/src/rashmi's code/CellSegmentationRefined.m b/src/rashmi's code/CellSegmentationRefined.m
new file mode 100644
index 0000000..daf47cd
--- /dev/null
+++ b/src/rashmi's code/CellSegmentationRefined.m	
@@ -0,0 +1,302 @@
+%%
+%The code creates a feature table for the different types of cells and
+%is used to create a initial training dataset for the classifier
+
+%%
+clc ;
+close all;
+clear all;
+initialFrame=1646;
+finalFrame=1646;
+folder='D:\videos\May10\n3\';
+mkdir(strcat(folder,'RBCs'));
+mkdir(strcat(folder,'Parasites'));
+mkdir(strcat(folder,'Clusters'));
+mkdir(strcat(folder,'Mask'));
+mkdir(strcat(folder,'choppedCells'));
+mkdir(strcat(folder,'Platelets'));
+mkdir(strcat(folder,'FalseNegatives'));
+mkdir(strcat(folder,'Falsepositive'));
+%%
+RBCCount=0; parCount=0; clusterCount=0; Fcount=0; choppedCells=0;platelets=0;
+Percentstained = 0; C_Percentstained = 0;
+count = 0; mainA = 0; StainA = 0;circularity=[];circularity_par=[];circularity_rbc=[];
+P_axisRatio=[]; P_majAxis=[]; P_minAxis=[]; P_area=[];
+C_axisRatio=[]; C_majAxis=[]; C_minAxis=[]; C_area=[];
+stainedpercent = [];
+area_par=[];
+MajAxis_par=[]; MinAxis_par=[]; AxisRatio_par=[];
+%%
+% To create a circular mask to eliminate the spokes channels and perform 
+% processing of cells in the central imaging region
+% Create a logical image of a circle with specified
+% diameter, center, and image size.
+fcount=0; 
+
+% First create the image.
+imageSizeX = 640; %X pixel size of the image
+imageSizeY = 480; %Y pixel size of the image
+[columnsInImage, rowsInImage] = meshgrid(1:imageSizeX, 1:imageSizeY);
+% Next create the circle in the image.
+centerX = 330; %center X pixel of the circle
+centerY = 260; %center y pixel of the circle
+radius = 160;  %Radius of the circle
+circlePixels = (rowsInImage - centerY).^2 ...
+    + (columnsInImage - centerX).^2 <= radius.^2; % creates the circular mask
+
+%% Generate Background
+%a = rgb2gray(imread(strcat('E:\Experiments\odroid\step1\1 (',num2str(V),').jpg')));
+%imshow(a);
+%%% average ten frames to generate background.
+bg = 0; 
+count = 300 ;% set number of frame to be averaged
+N = 2; % start frame number
+for i = N:N+count
+   % bg = bg +double(rgb2gray((imread(strcat('D:\videos\S\S1\1 (',num2str(V+i),').jpg')))));
+    
+    imagename=char(sprintf('%08d',i));
+    bg = bg +double(rgb2gray(imread(strcat(folder,imagename,'.jpg'))));
+end
+bg  = uint8(bg /count); % Final Background generated.
+imshow(uint8(circlePixels).*bg);
+%%
+tic
+r =0;b=0;
+count = 0;
+maxglcm = 0;
+Cont =0;Corr=0;Homo=0;I_mean=0;I_std=0;I_cir=0;I_area =0;stain=0;
+ ccount = 0;
+ C_Percentstained =0;StainMaxlength=0;StainMinlength=0;StainSolid=0; StainNumobj=0;
+ Features_table = [];F=[];
+CellFeature_table = [];cell=[];
+%  Feature_table =  table('VariableNames',{'Area', 'ConvexArea', 'Eccentricity', 'EquivDiameter', 'EulerNumber', 'Extent', 'FilledArea', 'MajorAxisLength', 'MinorAxisLength', 'Orientation', 'Perimeter', 'Solidity'});
+ for k =initialFrame:finalFrame
+ k
+Shape_Features =[]; Texture_Features1 = [];
+% The if condition is used to refresh the background for every 2000 frames
+% This helps eliminate any debris/ struck cells in the ROI
+if mod(k,2000) == 0 
+     %if V <19999-30
+% bg1 = bg;
+bg =0;
+count = 300 ;% set number of frame to be averaged
+N = k; % start frame number
+for i = N:N+count
+   % bg = bg +double(rgb2gray((imread(strcat('D:\videos\S\S1\1 (',num2str(V+i),').jpg')))));
+    
+    imagename=char(sprintf('%08d',i));
+    bg = bg +double(rgb2gray(imread(strcat(folder,imagename,'.jpg'))));
+end
+bg  = uint8(bg /count); % Final Background generated.
+% bg = (bg+bg1)/2.0
+end    
+ % The following section performs the segmentation based on histogram values    
+imagename=char(sprintf('%08d',k));
+
+ CurrFrame = (rgb2gray((imread(strcat(folder,imagename,'.jpg'))))); 
+ Sub =double(double(CurrFrame.*uint8(circlePixels))-double(bg.*uint8(circlePixels)));
+ %imshow(Sub);
+ Submin = min(Sub(:));
+ Submax = max(Sub(:));
+ AdjBGSub = uint8( (Sub - Submin)/(Submax-Submin) * 255);
+ Ia = AdjBGSub;
+  [A, B]=size(Ia);
+  I = medfilt2(Ia); % To smoothen the image
+  I = adapthisteq(I);
+I1 = medfilt2(I);
+Irgb = cat(3, I1, I1, I1);
+meanIntensityValue(k) = mean2(I1); % Finds the mean of the intensities of the image pixels
+stdIntensityValue = std2(I1); % Finds the standard deviation of the intensities of the image pixels
+% Selection of max and minimum of intensities for the thresholding
+%This multipication factor can be varied when you are optimizing the
+%thresholding 
+Imax = meanIntensityValue(k)+stdIntensityValue*4; % mean+ 4*standard deviation
+Imin = meanIntensityValue(k)-stdIntensityValue*4; % mean- 4*standard deviation
+% Further processing of the thresholded image
+Mask = createMask(Irgb,Imax,Imin);%figure;imshow(Mask);
+MaskInv = ~Mask;
+Maskopen =bwareaopen(MaskInv,150);%figure;imshow(Maskfinal);
+% Maskdil = imdilate(Maskopen, [se90 se0]);%figure;imshow(Maskdil);
+Maskdil = imclose(Maskopen, strel('disk',5));
+Maskfill = imfill(Maskdil, 'holes');%figure;imshow(Maskfill);
+Maskclose = Maskfill;
+% Maskclose = imclose(Maskfill, strel('disk',5));
+Maskclear = imclearborder(Maskclose);%figure;imshow(Maskclear);
+Maskfinal = Maskclear;
+% % Filter image based on image properties.
+% Maskfinal = bwpropfilt(Maskfinal, 'Area', [350 + eps(350), Inf]); % Area greater than 350 pixels
+% Maskfinal = bwpropfilt(Maskfinal, 'Solidity', [0.6 + eps(0.6), Inf]); % 1 is completely solid region
+% Maskfinal = bwpropfilt(Maskfinal, 'EulerNumber', [4.94065646e-324 + eps(4.94065646e-324), Inf]);k
+ CC =bwconncomp(Maskfinal);
+AxisRatio=[];
+
+Centroids = regionprops(CC,'Centroid');
+Areas = regionprops(CC,'Area');
+
+Perimeters=regionprops(CC,'Perimeter');
+%mainA = horzcat(mainA, max(struct2array(Areas)));
+    for il = 1:CC.NumObjects
+      if (CC.NumObjects>0)
+          if (Areas(il).Area > 500 && Areas(il).Area < 5000 )
+               ccount=ccount+1;
+               X = Centroids(il).Centroid(1);
+               Y = Centroids(il).Centroid(2);
+               lowX = round(X)-20;
+               lowY = round(Y)-20;
+               HighX = round(X)+20;
+               HighY = round(Y)+20;
+               if lowX <= 0
+                lowX=1;
+                end
+                if lowY <= 0
+                lowY=1;
+                end
+                if HighX > B
+                HighX=B;
+                end
+                if HighY > A
+                HighY=A;
+                end
+                I1=Ia(lowY:HighY,lowX:HighX);
+                circularity(ccount) = Perimeters(il).Perimeter ^ 2 / (4 * pi * Areas(il).Area);
+
+                BWthresh = im2bw(I1,0.2);
+                %imtool(BWthresh);
+%                Par_dil = imdilate(BWthresh, [se90 se0]);
+%                Par_fill = imfill(BWthresh, 'holes');
+                imwrite(Maskfinal,strcat(folder,'Mask/FrameNumber','-',num2str(k),'-',num2str(il),'.jpg'),'jpeg');
+
+               %imtool(BWthresh)
+% imshow(BWthresh);
+
+% figure;
+% imshow(uint8(BWthresh).*Ia);
+                
+                CC1 =bwconncomp(imcomplement(BWthresh));
+                Areas_stained = regionprops(CC1,'Area');
+                MajAxis= regionprops(CC1,'MajorAxisLength');
+                MinAxis= regionprops(CC1,'MinorAxisLength');
+                AxisRatio=struct2array(MajAxis)/struct2array(MinAxis);
+                struct2array(MajAxis);
+                struct2array(MinAxis);
+                Areas_stained.Area;
+
+                C_Percentstained = sum(struct2array(Areas_stained))/max(struct2array(Areas))*100;
+                Percentstained = horzcat(Percentstained, C_Percentstained );
+                StainA = horzcat(StainA, sum(struct2array(Areas_stained)));
+                MajAxisMat=struct2array(MajAxis);
+                numMajaxis=size(MajAxisMat,2);
+                no_majAxis=isempty(MajAxis);
+                MajAxis_par=[];MinAxis_par=[];
+                MajAxis_par=(struct2array(MajAxis));
+                MinAxis_par=(struct2array(MinAxis));
+                Area_par=struct2array(Areas_stained);
+                
+                
+                i=1;
+                f=numMajaxis;
+                % For loop to compute ratio of major and minor axis
+                % to check if the object in the BWthresh is long or
+                % round shaped
+                AxisRatio_par=[];
+                
+                for i=1:f
+                    AxisRatio_par(i)=MajAxis_par(i)/MinAxis_par(i)
+                end
+                AxisRatio_par
+                countgreater2=0;
+                %Another for loop to check if the object has the
+                %ratio greater than 2.7, it should be classified as
+                %RBC and not as a parasite.
+                
+                for i=1:f
+                    if (AxisRatio_par(i) > 2.7)
+                        countgreater2=countgreater2+1;
+                    end
+                end
+                
+                
+                if (Areas(il).Area > 1500 && Areas(il).Area < 5000 )
+                        clusterCount=clusterCount+2;
+                        imwrite(I1,strcat(folder,'Clusters/FrameNumber','-',num2str(k),'-',num2str(il),'.jpg'),'jpeg');
+                
+                %If there are major Axis
+                elseif (no_majAxis == 0)
+                    if (C_Percentstained<40 && C_Percentstained>3 && AxisRatio < 3 && max(struct2array(MajAxis)) < 18 && numMajaxis < 4 )
+                        stainedpercent(ccount) = C_Percentstained;
+                        area_par(ccount)=Areas(il).Area;
+
+                        
+
+                        %%If there are no cells having count greater than
+                        %%2.7 i.e countgreater2==0 then the cell is
+                        %%classified as a parasite
+                       if (countgreater2 == 0)
+                                'Parasite1'
+                                parCount=parCount+1; 
+                                imwrite(I1,strcat(folder,'Parasites/FrameNumber','-',num2str(k),'-',num2str(il),'.jpg'),'jpeg');    
+                                imwrite(BWthresh,strcat(folder,'Falsepositive/FrameNumber','-',num2str(k),'-',num2str(il),'.jpg'),'jpeg');    
+                       
+%                             'default'
+%                             if (max(Area_par) > 20 && max(AxisRatio_par) <4 && max(struct2array(MajAxis)) < 25)
+%                                'Parasite3'
+%                                 parCount=parCount+1;
+%                                 imwrite(I1,strcat(folder,'Parasites/FrameNumber','-',num2str(k),'-',num2str(il),'.jpg'),'jpeg');    
+%                                 imwrite(BWthresh,strcat(folder,'Falsepositive/FrameNumber','-',num2str(k),'-',num2str(il),'.jpg'),'jpeg');    
+                       elseif (max(struct2array(MajAxis))< 10 && C_Percentstained > 5 && max(AxisRatio_par) < 3.5)
+                            
+                            'Parasite2'
+                            parCount=parCount+1; 
+                            imwrite(I1,strcat(folder,'Parasites/FrameNumber','-',num2str(k),'-',num2str(il),'.jpg'),'jpeg');    
+                            imwrite(BWthresh,strcat(folder,'Falsepositive/FrameNumber','-',num2str(k),'-',num2str(il),'.jpg'),'jpeg');    
+
+                       else  
+                            'RBC1'
+                            RBCCount=RBCCount+1;
+                            circularity_rbc(ccount)=Perimeters(il).Perimeter ^ 2 / (4 * pi * Areas(il).Area);
+                            imwrite(I1,strcat(folder,'RBCs/FrameNumber','-',num2str(k),'-',num2str(il),'.jpg'),'jpeg'); 
+                            imwrite(BWthresh,strcat(folder,'FalseNegatives/FrameNumber','-',num2str(k),'-',num2str(il),'.jpg'),'jpeg');    
+
+                            
+                        end
+                %RBC
+                    elseif ( max(struct2array(MajAxis)) > 15 || numMajaxis>1 || (C_Percentstained<5 && C_Percentstained>1) || AxisRatio > 2)
+                            
+                        if (max(struct2array(MajAxis))< 10 && C_Percentstained > 10 && max(AxisRatio_par) < 2 && max(Area_par) < 200)
+                            
+                            'Parasite3'
+                            parCount=parCount+1; 
+                            imwrite(I1,strcat(folder,'Parasites/FrameNumber','-',num2str(k),'-',num2str(il),'.jpg'),'jpeg');    
+                            imwrite(BWthresh,strcat(folder,'Falsepositive/FrameNumber','-',num2str(k),'-',num2str(il),'.jpg'),'jpeg');    
+                            
+                        else    
+                            'RBC2'  
+                            RBCCount=RBCCount+1;
+                            circularity_rbc(ccount)=Perimeters(il).Perimeter ^ 2 / (4 * pi * Areas(il).Area);
+                            imwrite(I1,strcat(folder,'RBCs/FrameNumber','-',num2str(k),'-',num2str(il),'.jpg'),'jpeg'); 
+                            imwrite(BWthresh,strcat(folder,'FalseNegatives/FrameNumber','-',num2str(k),'-',num2str(il),'.jpg'),'jpeg'); 
+
+                           
+                        end
+                    end
+                
+                elseif (~isempty(Areas_stained))
+                    if(Areas_stained.Area >25)
+                        parCount=parCount+1;
+                        imwrite(I1,strcat(folder,'Parasites/FrameNumber','-',num2str(k),'-',num2str(il),'.jpg'),'jpeg');    
+                        imwrite(BWthresh,strcat(folder,'Falsepositive/FrameNumber','-',num2str(k),'-',num2str(il),'.jpg'),'jpeg');    
+                    end
+                else
+                    'RBC3'
+                    RBCCount=RBCCount+1;
+                    imwrite(I1,strcat(folder,'RBCs/FrameNumber','-',num2str(k),'-',num2str(il),'.jpg'),'jpeg'); 
+                    imwrite(BWthresh,strcat(folder,'FalseNegatives/FrameNumber','-',num2str(k),'-',num2str(il),'.jpg'),'jpeg'); 
+
+                end
+            end
+       end
+    end
+ end
+ Fcount=clusterCount+RBCCount+parCount+choppedCells;
+
+