A Relaxation Algorithm for Segmentation of Real-World Scenes
Steve Dropsho · 1995
Image segmentation is a fundamental operation in machine vision. This report explores the effectiveness of a Hopfield neural net for segmentation and improves on the basic algorithm with a region merging technique based on texture classification. Considerable empirical results show the effectiveness of the algorithm on complex real-world outdoor scenes. A detailed study is also made of porting the highly data parallel algorithm to the University of Massachuesetts-Amherst CAAPP layer of the Image Understanding Architecture, a bit serial SIMD parallel architecture.