Improved technique for object detection using Similarity Based Region Merging
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2013, Vol 2, Issue 5
Abstract
object segmentation is an important task in image processing and computer vision. We address a method to effectively discover a user’s concept when object of interest are involved in input image. In this paper our method corporate frameworks for object retrieval using semi-automatic method for object detection because fully automatic segmentation is very hard for natural images. To improve the effectiveness of region merging we propose a new similarity based object retrieval. The users only need to roughly indicate the after which steps desired objects closed contour is obtained during the automatic merging of similar regions. A similarity based region merging mechanism is proposed to guide the merging process with the help of initial segmentation technique. Any two or more regions are merged with its adjacent regions on the basis of similarity. The proposed method automatically merges the regions that are initially segmented through initial segmentation technique, and then effectively extracts the object contour by merging regions.
Authors and Affiliations
Garima Singh Rawat, Joy Bhattacharjee, Roopali Soni
Keywords
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