返回
Color image processing by using binary quaternion-moment-preserving thresholding technique
DOI:10.1109/83.760310.png)
摘要
En 中文
This paper presents a nem moment-preserving thresholding technique, called the binary quaternion-moment-preserving (BQMP) thresholding, for color image data. Based on representing color data by the quaternions, the statistical parameters of color data can be expressed through the definition of quaternion moments. Analytical formulas of the BQMP thresholding can thus be determined by using the algebra of the quaternions. The computation time for the BQMP thresholding is of order of data size. By using the BQMP thresholding, quaternion-moment-based operators are designed for the applications of color image processing, such as color image compression, multiclass clustering of color data, and subpixel color edge detection. The experimental results show that the proposed operator for color image compression can have output picture quality acceptable to human eyes. In addition, the proposed edge operator can detect color edge in subpixel level. Therefore, the proposed BQMP thresholding can be used as a tool for color image processing.
Keyword:
binary thresholding
color image processing
quaternion-moment preserving
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
13.7
论文数:
1.0W
被引数:
8.4W
机构
暂无机构信息
引用论文
A fast two-class classifier for 2D data using complex-moment-preserving principle
PATTERN RECOGNITION
IF7.6

