FPGA Implementation of Connected Component Watershed Image Segmentation

Image Segmentation is an important process for image processing analysis and for computer vision. A segmentation problem includes the partitioning of an image into a number of homogeneous segments and union of any two segments forms a heterogeneous segment. There are various methods which deal with segmentation and feature extraction like Markova random field based technique, edge based technique, histogram based technique etc. However, the segmentation is a challenging task because of the variety and complexity of images. To reduce the complexity of the hardware architecture, watershed transform using connected component has been used for image segmentation.