Two Algorithms of Image Segmentation and Measurement Method of Particle’s Parameters

Some characteristics were used in image segmentation algorithms, however, these algorithms have some inevitable limitations, so appropriate methods were selected for a variety of practical applications against specific demands of various applications. The improved Otsu algorithm was studied in this article, and in the cluster-based image segmentation algorithm, fuzzy C-means algorithm and global optimization search (GOS) algorithm were also introduced to image segmentation. For the evaluation of the quality of image segmentation, a method of particle image measuring is proposed. The results of the simulation by different images were analyzed, studied, compared. The results through my proposed evaluation show that the improved Otsu algorithm can effectively improve the quality of image segmentation, the GOS is more effective through the simulation experiments and theoretical analysis of algorithm performance, and the method of particle image measuring could evaluate the advantages and disadvantages of image segmentation algorithms better.