Information granules in image histogram analysis

被引：13
|
作者：
Wieclawek, Wojciech [1 ]
机构：
[1] Silesian Tech Univ, Fac Biomed Engn, Ul Roosevelta 40, PL-41800 Zabrze, Poland
来源：
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS | 2018年 / 65卷
关键词：
Granular computing; Justifiable granular computing; Image histogram; Median; Weighted median; Histogram analysis; Cumulative histogram; Histogram equalization; Image enhancement; Intensification of gray levels; Image processing; Computed tomography; FUNDAMENTALS; PRINCIPLE;
D O I：
10.1016/j.compmedimag.2017.05.003
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
A concept of granular computing employed in intensity-based image enhancement is discussed. First, a weighted granular computing idea is introduced. Then, the implementation of this term in the image processing area is presented. Finally, multidimensional granular histogram analysis is introduced. The proposed approach is dedicated to digital images, especially to medical images acquired by Computed Tomography (CT). As the histogram equalization approach, this method is based on image histogram analysis. Yet, unlike the histogram equalization technique, it works on a selected range of the pixel intensity and is controlled by two parameters. Performance is tested on anonymous clinical CT series. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码：129 / 141
页数：13
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