Effectiveness of various fuzzy thresholding techniques (based on entropy of fuzzy sets, fuzzy
geometrical properties, and fuzzy correlation) is demonstrated on remotely sensed (IRS and …

Image processing has to deal with many ambiguous situations. Fuzzy set theory is a useful
mathematical tool for handling the ambiguity or uncertainty. In order to apply the fuzzy …

This paper presents a thresholding approach by performing fuzzy partition on a two-
dimensional (2-D) histogram based on fuzzy relation and maximum fuzzy entropy principle …

Soy protein hydrolysates with hydrolysis degree 4 (SPH4) and their xanthan gum (XG)
blends were subjected to heat-shearing treatment, and the resulting microparticulated SPH4 …

A new method for fractal image compression is proposed using genetic algorithm (GA) with
an elitist model. The self transformation property of images is assumed and exploited in the …

指出了二维直方图区域直分法中存在明显的错分, 提出了一种新的二维直方图区域斜分方法,
即通过4 条平行斜线将直方图分成内点区, 边界点区和噪声点区, 并采用与主对角线垂直的斜线 …

Quantifying ambiguities in images using fuzzy set theory has been of utmost interest to
researchers in the field of image processing. In this paper, we present the use of rough set …

Existing traffic video summarization algorithms are capable of detecting one-class (ie,
collision) anomaly and cannot handle uncertainty issues arising between two-class …

This paper proposes an automated procedure for segmenting an magnetic resonance (MR)
image of a human brain based on fuzzy logic. An MR volumetric image composed of many …

Four soluble dietary fiber (SDF) fractions characterized by major components of AXs,
relatively narrow molecular weight distribution, different substituted ratio, and structure …