Publish In |
International Journal of Industrial Electronics and Electrical Engineering (IJIEEE)-IJIEEE |
Journal Home Volume Issue |
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Issue |
Volume-5,Issue-4 ( Apr, 2017 ) | |||||||||
Paper Title |
A Novel Approach for Analysis of Image Segmentations Quality by Reference Segmentation Work Set | |||||||||
Author Name |
A. Durgaprakash, B. Suneetha | |||||||||
Affilition |
Asst.Prof, Assoc.Prof., Dept.Of ECE, GVR&S College of Engineering and Technology | |||||||||
Pages |
6-11 | |||||||||
Abstract |
Analysis of image segmentation quality is a critical aspect for generating desirable segmented output and comparing merits of algorithms, among others. However, Dynamic analysis of segmented results is inherently challenging since image segmentation is an improper-posed problem. This paper presents a window work to Analysis segmentation quality using multiple labelled segmentations which are considered as references. For a segmentation to be analysed, we adaptively compose a reference segmentation using multiple labelled segmentations, which locally campares the input segments while preserving outline consistency. The Resolution of a given segmentation is calculated by its distance to the composed reference. A new workset of 200 images, where each one has 6 to 15 labeled segmentations, is designed for performance analysis of image segmentation. Furthermore, to samplised compare the proposed segmentation analysis algorithm with the state-of-the-art methods, a coincidence segmentation analysis workset is proposed. Extensive experiments are carried out to validate the proposed segmentation Analysis window work. Index Terms - image segmentation analysis, segmentation quality, image segmentation workset | |||||||||
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