P‐54: Image Segmentation Using Densely Constructed Mean‐Shift Vectors
Hanjoo Cho, Sung In Cho, Young Hwan Kim · SID Symposium Digest of Technical Papers · 2014
Abstract This paper presents an image up‐scaling based approach to improving the quality of image segmentation that uses linked mean‐shift vectors [6]. While already effective, the segmentation quality of [6] can be further improved by strengthening the approximation process it uses. Making up for the weakness, the proposed algorithm remarkably outperformed existing competitor algorithms in segmentation quality by Probabilistic Rand Index [8] and Segmentation Covering [9] for Berkeley Segmentation Dataset [7].