Distinctive feature mining based on varying threshold based image extraction for single and multiple objects
Rajwinder Kaur Sandhar, Gurbakash Phonsa · 2014
Object extraction is important field of image processing. In this paper we will discuss about feature extraction and performance evaluation to detect object using varying threshold values. The fundamental concept of varying threshold and frequency based method provide a new aid to computer vision. This paper proposes a new object extraction varying threshold method with the combination of existing priori research paper method. Object extraction of a given image involves detection, feature extraction on the basis of area comparison of pixels, size, enrichment and mining. The purpose of this paper is to resolves the object extraction problems to some extent but still involve lots of tinkering problems, to point out the promising directions for future research.