Otsu and Double-Dimensional Clustering With Wingsuit Flying Search Algorithm (WFSA) For Multi-Level Thresholding In Image Segmentation

– In recent years image segmentation plays very vital and important role in branch of computer vision. This process of segmentation is divides pixels of particular image into the groups related to image.here in this proposed algorithm we use another segmentation method which based on Otsu and Double-Dimensional Clustering with Wingsuit Flying Search Algorithm (WFSA) for multi-level thresholding in image segmentation (ODDC-WFSA-MTIS) is proposed. this algorithm having fast multilevel segmentation method as compared to other. Segmentation needs threshold level to separate the object from the background to read the image properly and identify meaningful content of an image. In this era it has found more attention of researchers. Thresholding is a process, used to split the image pixels in to different group/cluster by comparing the intensity value of image pixels with reference threshold level. The threshold value split the image pixels in a way that pixels having lower intensity-value than fixed threshold level belongs to one cluster while pixels whose intensity-value is more than fixed threshold level belongs to another cluster. Image segmentation method is useul for face recognition, medical image processing image analysis, object detection. In our proposed algorithm we have study about the thresholding technique of image segmentation and implemented in Wingsuit Flying Search Algorithm (WFSA) is used to optimize threshold, and then uses this thresholding value to segment the image.