THE COMPARISON OF THE EFFECTS OF THRESHOLDING METHODS ON SEGMENTATION USING THE MOTH FLAME OPTIMIZATION ALGORITHM

Segmentation is an important preprocessing step that directly affects the success in image processing applications. There are many methods and approaches used for segmentation process. Thresholding a frequently approach among these methods. several suggested to thresholding. In this study, six different thresholding were as fitness functions using moth flame algorithm results obtained from compared. experimental studies, seven threshold levels of 10 images studied. comparisons made with three metrics, it was seen Otsu method generally more successful. It has also been observed minimum cross entropy Renyi entropies can be alternatives.