Entropy in Image Analysis II

Entropy based Malmquist Productivity Index in Data Envelopment Analysis

Malmquist Productivity Index (MPI) is one of the most famous indices, which is used for estimating the productivity change of a Decision Making Unit (DMU) during the time. Virtually any empirical study that uses MPI, reports average of the productivity indices they estimate to represent the overall tendency in productivity changes. In such a case, productivity indices of a DMU are considered wi...

Entropy-based Image Registration

This thesis investigates the employment of different entropic measures, including Rényi entropy, in the context of image registration. Specifically, we focus on the entropy estimation problem for image registration and provide theoretical and experimental comparisons of two important entropy estimators: the plug-in estimator and minimal entropic graphs. We further develop an image registration ...

Maximum entropy image reconstruction

This correspondence justifies the maximum entropy image reconstruction (MEIR) formulation proposed by Zhuang et al. (1987), Manuscript received September 18, 1989; revised June 6, 1990. This work was supported by the K. C. Wong Education Foundation, Hong Kong. X. Zhuang is with the Department of Electrical and Computer Engineering, University of Missouri, Columbia, MO 6521 1 . R. M. Haralick is...

Texture Regimes for Entropy-Based Multiscale Image Analysis

We present an approach to multiscale image analysis. It hinges on an operative definition of texture that involves a “small region”, where some (unknown) statistic is aggregated, and a “large region” within which it is stationary. At each point, multiple small and large regions co-exist at multiple scales, as image structures are pooled by the scaling and quantization process to form “textures”...

Image Analysis Using Quantum Entropy, Scale Space and Diffusion Concepts