Irregularity-based image regions saliency identiﬁcation and evaluation
Saliency or Salient regions extraction 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.
The file attached to this record is the author's final peer reviewed version. The publisher's final version of record can be found by following the DOI.
Citation : Al-Azawi, M., Yang, Y., Istance, H. (2016) Irregularity-based image regions saliency identiﬁcation and evaluation. Multimedia Tools and Applications, 75, pp. 25-48
ISSN : 1380-7501
Research Group : Centre for Computational Intelligence
Research Institute : Institute of Artificial Intelligence (IAI)
Peer Reviewed : Yes