Developing Image Processing Meta-Algorithms with Data Mining of Multiple Metrics

作者：Leung Kelvin^*; Cunha Alexandre; Toga A W; Parker D Stott

来源：Computational and Mathematical Methods in Medicine, 2014, 2014: 383465.

DOI：10.1155/2014/383465

People often use multiple metrics in image processing, but here we take a novel approach of mining the values of batteries of metrics on image processing results. We present a case for extending image processing methods to incorporate automated mining of multiple image metric values. Here by a metric we mean any image similarity or distance measure, and in this paper we consider intensity-based and statistical image measures and focus on registration as an image processing problem. We show how it is possible to develop meta-algorithms that evaluate different image processing results with a number of different metrics and mine the results in an automated fashion so as to select the best results. We show that the mining of multiple metrics offers a variety of potential benefits for many image processing problems, including improved robustness and validation.

• 出版日期2014
• 单位UCLA