Application of Genetic Algorithm in Image Segmentation of Gene Chips / 医疗卫生装备

ABSTRACT

Objective The image segmentation of low-density gene chips based on genetic algorithm, which can implement the function of region identification, is achieved. Methods After image denoising by wavelet analysis, image segmentation is accomplished by genetic algorithm. Results The method can detect the region of sampling point more precisely. It can also effectively separate the valuable weak signal points and background or noise. Conclusion The method can accomplish the function of image segmentation of low-density gene chips, which can provide relative accurate data information for future image analysis: