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» Information Entropy Measure for Evaluation of Image Quality
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JEI
2007
176views more  JEI 2007»
14 years 9 months ago
Adaptive techniques for microarray image analysis with related quality assessment
We propose novel techniques for microarray image analysis. In particular, we describe an overall pipeline able to solve the most common problems of microarray image analysis. We pr...
Sebastiano Battiato, Gianpiero di Blasi, Giovanni ...
CVBIA
2005
Springer
15 years 3 months ago
Multi-modal Image Registration by Quantitative-Qualitative Measure of Mutual Information (Q-MI)
Abstract. This paper presents a novel measure of image similarity, called quantitative-qualitative measure of mutual information (Q-MI), for multi-modal image registration. Convent...
Hongxia Luan, Feihu Qi, Dinggang Shen
MICCAI
2006
Springer
15 years 10 months ago
Multi-modal Image Registration Using the Generalized Survival Exponential Entropy
Abstract. This paper introduces a new similarity measure for multimodal image registration task. The measure is based on the generalized survival exponential entropy (GSEE) and mut...
Shu Liao, Albert C. S. Chung
CSIE
2009
IEEE
15 years 4 months ago
Evaluating Clustering Algorithms: Cluster Quality and Feature Selection in Content-Based Image Clustering
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
Mesfin Sileshi, Björn Gambäck
ECCV
2004
Springer
15 years 11 months ago
An Information-Based Measure for Grouping Quality
We propose a method for measuring the quality of a grouping result, based on the following observation: a better grouping result provides more information about the true, unknown g...
Erik A. Engbers, Michael Lindenbaum, Arnold W. M. ...