期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2013
卷号：3
期号：2
页码：88-91
出版社：International Journal of Soft Computing & Engineering
摘要：Corner detection is a challenging and important research area in computer vision and object recognition systems. However, they have some problems such as sensitive to noise, poor localization. The corner detector -Feature Accelerated Segment Test (FAST) which will be a good locator of corners in foveated images similar to Human Visual Fixations. The feature detector considers pixels in a circular region. This technique creates uniformity over the image area considering the brightness and darkness for estimation that constitutes as corner. The resulting detector will detect very stable features in foveated images. This paper deals with foveation filtering and corner detection to establish foveal location in natural images. The proposed approach is implemented with the help of VC++ language and will provide fine location for all real world applications.
关键词：Foveation Filtering; Corner Detection; Foveated;images; FAST algorithm; Fruit Images
