DocumentCode :
3077168
Title :
Irregularity-based saliency identification and evaluation
Author :
Al-Azawi, Mohammad ; Yingjie Yang ; Istance, Howell
Author_Institution :
Center for Comput. Intell., De Montfort Univ., Leicester, UK
fYear :
2013
fDate :
26-28 Dec. 2013
Firstpage :
1
Lastpage :
6
Abstract :
Saliency or Salient regions extractions form images is still a challenging field since it needs some understanding for the image and the nature of the image. The technique that is suitable in some application is not necessarily useful in other application, thus, saliency enhancement is application oriented. In this paper, a new technique of extracting the salient regions from an image is proposed which utilizes the local features of the surrounding region of the pixels. The level of saliency is then decided based on the global comparison of the saliency-enhanced image. To make the process fully automatic a new Fuzzy-Based thresholding technique has been proposed also. The paper contains a survey of the state-of-the-art methods of saliency evaluation and a new saliency evaluation technique was proposed.
Keywords :
feature extraction; fuzzy set theory; image enhancement; image segmentation; fuzzy-based thresholding technique; irregularity-based saliency evaluation; irregularity-based saliency identification; local features; saliency-enhanced image; salient region extraction; Computational intelligence; Computer vision; Conferences; Data mining; Feature extraction; Histograms; Visualization; Attention; Image; Irregularity; Saliency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Computing Research (ICCIC), 2013 IEEE International Conference on
Conference_Location :
Enathi
Print_ISBN :
978-1-4799-1594-1
Type :
conf
DOI :
10.1109/ICCIC.2013.6724128
Filename :
6724128
Link To Document :
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