Significant Geometry Features in Tongue Image Analysis

Significant Geometry Features in Tongue Image Analysis

The shape of a human tongue and its relation to a patients' state, either healthy or diseased (and if diseased which disease), is quantitatively analyzed using geometry features by means of computerized methods in this paper. Thirteen geometry features based on measurements, distances, areas, and their ratios are extracted from tongue images captured by a specially designed device with color co...

Tongue Image Analysis for Hepatitis

In this study, we proposed an automated methodology to analyze and detect and analyze hepatitis by using tongue images analysis based on genetic algorithm–support vector machine. There is a strong association in between the characteristics of tongue and human health diagnosis. GA-SVMs are used to establish a relationship between diseases like appendicitis, diabetes and characteristics of tongue...

Fuzzy geometry in image analysis

An ilttempt is made here to delnonslrale tile way of implemenllng the concept of fuzzy geometry in image proeessing/"Ilalysls prohlems. Some new measures "re also provided in lhis eontexL Four ,Jigorilhllls ,Ire described for objeet/baekgroulld classification and skeleton extraction in both fuzzy and nonfuZ7.y (crisp) forms. Their effectiveness is demollsl r;'lc<! Oil various lypes of images. T...

Content-based image retrieval using visually significant point features

This paper presents a new image retrieval scheme using visually significant point features. The clusters of points around significant curvature regions (high, medium, and weak type) are extracted using a fuzzy set theoretic approach. Some invariant color features are computed from these points to evaluate the similarity between images. A set of relevant and non-redundant features is selected us...

Projective Geometry for Image Analysis