Evolution of Programs for Segmentation of Microscopic Images

Image segmentation is a fundamental part in most image analysis and automatic object recognition problems. In this paper we enhance our previous genetic programming-based image segmentation algorithm (GPIS) to produce GPIS II. The algorithm evolves short C++ programs, which make use of both native C++ capabilities and functions of the OpenCV library. We present, in detail, the design and operation of the new program, and present results obtained from a thorough testing on a random sample of 40 images from a larger database of microscopic images of cells in culture (CellsDB).