Result Analysis Report of Video Object Co-segmentation Using Fast Fuzzy and Merge Tree
Volume: 6 - Issue: 05 - Date: 01-05-2017
Approved ISSN: 2278-1412
Published Id: IJAECESTU310 | Page No.: 531-534
Author: Vinay Tiwari
Co- Author: Harsh Mathur
Abstract:-Video Segmentation Using Hierarchical Merge Tree is analyzed in this paper by
means of fast fuzzy c-means clustering algorithm and fuzzy membership function. Proposed work
is completed for the color segmentation, as previous research presents a connected coherence tree
algorithmic rule (CCTA) for Video segmentation with no prior information. It aims to search out
regions of semantic coherence based on the projected ɛ-neighbor coherence segmentation
criterion. Rgb Video is converted to Lab color space by taking average of each color component
individually, then the average value of the color of small region selected is compared with all the
pixels of the Video and finally the desired object gets segmented efficiently. This algorithm runs in
small time with much accuracy since, FFCM avoids some unnecessary comparisons between the
pixels.
Key Words:-Video Segmentation, Clustering, Region-Based, RSST, Recursive Shortest-Spanning Tree, FFCM,
Area:-Engineering
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