A method to segment touching cells in very low contrast cell images has been proposed.
To improve contrast multiscale top-hat transform and h-maxima has been proposed.
Curvelet initialized modified Chan–Vese model has been proposed for segmentation.
The enhancement results of the proposed method have been verified using PSNR.
Accuracy, precision and sensitivity validate the proposed segmentation method.