i have done segmentation of image using ''createMask'' function which is mentioned below. now how can i get back the original image that is by desegmentation. thank you in advanced . reply as earliest possible

function [BW,maskedRGBImage] = createMask(RGB)
% Convert RGB image to chosen color space 
I = rgb2hsv(RGB);

% Define thresholds for channel 1 based on histogram settings 
channel1Min = 0.685; 
channel1Max = 0.922;
% Define thresholds for channel 2 based on histogram settings 
channel2Min = 0.000; 
channel2Max = 1.000;
% Define thresholds for channel 3 based on histogram settings 
channel3Min = 0.000; 
channel3Max = 0.924;

% Create mask based on chosen histogram thresholds 
BW = (I(:,:,1) >= channel1Min ) & (I(:,:,1) <= channel1Max) & ...
    (I(:,:,2) >= channel2Min ) & (I(:,:,2) <= channel2Max) & ... 
    (I(:,:,3) >= channel3Min ) & (I(:,:,3) <= channel3Max);

% Invert mask 
BW = ~BW;

% Initialize output masked image based on input image. 
maskedRGBImage = RGB;
% Set background pixels where BW is false to zero. 
maskedRGBImage(repmat(~BW,[1 1 3])) = 0;

Answer 1

[DGM]

If you can run the above code, then you necessarily already have the thing you want.

If the original image is lost and all you have is a binary mask and an arbitrarily small fraction of the original image pixels, it is not generally possible to accurately reconstruct the original image. The only information which can be generally known about the missing pixels is that they do not lie within the specified narrow sector in HSV. For uint8 inputs, that's only 78% of 16.8 million possibilities per pixel.