Object Segmentation Using Multiscale Morphological Operations

Object segmentation plays an important role in human visual perception, medical image processing and content based image retrieval. Itprovides information for recognition and interpretation. Thispaper uses mathematical morphology for image segmentation. Object segmentation is difficult because one usually does not know a priori what type of object exists in an image, how many different shapes are there and what regions the image has. To carryout discrimination and segmentation several innovative segmentation methods, based on morphology are proposed. The present study proposes segmentation method based on multiscale morphological reconst ructions. Various sizes of structuring elements have been used to segment simple and complex shapes. It enhances local boundaries that may lead to improve segmentation accuracy. The method is tested on various datasets and results shows that it can be use d for both interactive and automatic segmentation.