DocumentCode :
3222072
Title :
A novel fuzzy metric for objective evaluation of interactive image segmentation algorithms based on correlation
Author :
Askari, Elham ; Moghadam, Amir Masoud Eftekhari
Author_Institution :
Dept. of Comput. Eng., Azad Univ. of Qazvin, Qazvin, Iran
fYear :
2011
fDate :
16-18 Nov. 2011
Firstpage :
416
Lastpage :
420
Abstract :
Image segmentation is a relevant research area in computer vision and plays a major role in a broad range of applications; therefore it is necessary to be able to evaluate the performance of image segmentation algorithms objectively. For natural images, usually we use interactive image segmentation to provide a means of accurately extracting semantic objects from an image efficiently. In interactive segmentation the users only need to roughly indicate the location and region of the object and background by using markers. In this paper we present a new fuzzy error measure index to obtain the interactive image segmentation error, based on correlation of pixels. Also this measure is based on segment-by-segment comparisons of a segmented image and a ground-truth and is sensitive to the position of each object. Experimental results were obtained for a selection of test images and showed that it´s a proper measure for comparing interactive image segmentation algorithms.
Keywords :
computer vision; correlation methods; fuzzy set theory; image segmentation; interactive systems; natural scenes; computer vision; fuzzy error measure index; fuzzy metric; interactive image segmentation algorithm; natural images; object location; object position; object region; objective evaluation; pixel correlation; segment-by-segment comparison; semantic object extraction; Accuracy; Algorithm design and analysis; Bismuth; Image segmentation; Indexes; Measurement uncertainty; Signal processing algorithms; Correlation; Fuzzy error measure index; Interactive image segmentation; Objective evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2011 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-0243-3
Type :
conf
DOI :
10.1109/ICSIPA.2011.6144139
Filename :
6144139
Link To Document :
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