The new algorithm for image threshold segmentation by cumulative histograms 
of real and hypothetical images is considered. The algorithm operates with 
a difference from cumulative histogram of real and hypothetical images. 
To find the threshold the optimization problems are formulated and solved. 
Testing and experimental results are presented.