计算机科学 ›› 2012, Vol. 39 ›› Issue (Z11): 375-377.
• 图形图像 • 上一篇 下一篇
姜月秋,牛 硕,高宏伟
出版日期:
发布日期:
Online:
Published:
摘要: 色彩量化是数字图像处理中的一项关键技术。通过对基于分割和聚类的色彩量化算法的研究,提出了一种新的基于K均值聚类的色彩量化算法。首先,根据色调H对像素点进行粗分类;然后对各个子聚类族进行基于K均值聚类的色彩量化处理。通过与当前常用的量化算法进行比较,得出此算法在量化效果和执行时间上都具有较好的 表现。
关键词: 色彩量化,HSI色彩空间,K均值
Abstract: Color quantization is a key technology in digital image processing. Based on the segmentation and clustering algorithm for color quantization, this article puts forward a kind of new color quantization algorithm upon K-means clustering. First of all, take a coarse classification to the pixels according to tonal H. Then, take quantization processing to each child clustering group based on k-means clustering color. Through the comparison with the current commonly used quantitative algorithm comes to a conclusion that this algorithm has a better performance in quantization effect and execution tmue.
Key words: Color quantization, HSI, K-means
姜月秋,牛 硕,高宏伟. 一种新的基于K均值聚类的色彩量化算法研究[J]. 计算机科学, 2012, 39(Z11): 375-377. https://doi.org/
0 / / 推荐
导出引用管理器 EndNote|Reference Manager|ProCite|BibTeX|RefWorks
链接本文: https://www.jsjkx.com/CN/
https://www.jsjkx.com/CN/Y2012/V39/IZ11/375
Cited