Split And Merge Segmentation Example. Segmentation partitions an image into distinct regions containing each pixels with similar attributes. Split and merge iteratively split and merge regions to.
Edge detection point and line detection 10 2 1 10 2 6 2. To be meaningful and useful for image analysis and interpretation the regions should strongly relate to depicted objects or features of interest. The total region is a parent and each of the four.
Hence the best homogeneous criterion for merging and splitting is difficult to find.
The image is successively split into quadrants based on a homogeneity criterion and similar regions are merged to create the segmented result. We cover the following segmentation approaches. To be meaningful and useful for image analysis and interpretation the regions should strongly relate to depicted objects or features of interest. Split and merge method.
