| 一种基于图像内容的自适应色彩量化算法 |
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| 引用本文： | 王向阳,胡峰丽,刘春辉. 一种基于图像内容的自适应色彩量化算法[J]. 辽宁师范大学学报(自然科学版), 2007, 30(3): 310-314 |
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| 作者姓名： | 王向阳 胡峰丽 刘春辉 |
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| 作者单位： | 辽宁师范大学,计算机与信息技术学院,辽宁,大连,116029;南京邮电大学,图像处理与图像通信重点实验室,江苏,南京,210003;苏州大学,江苏省计算机信息处理技术重点实验室,江苏,苏州,215006;辽宁师范大学,计算机与信息技术学院,辽宁,大连,116029 |
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| 基金项目： | 辽宁省自然科学基金资助项目（20032100）;大连市科技基金资助项目（2006JZ3JH020）;江苏省重点实验室开放基金资助项目（ZK205014）;江苏省重点实验室开放课题基金资助项目（KJS0602） |
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| 摘 要： | 色彩量化是数字图像分析与处理领域的基本问题之一.笔者以K-均值聚类为基础,提出了一种新的自适应色彩量化算法,该算法首先依据图像内容确定初始聚类中心,并对所有像素进行归类处理;再结合图像局部区域平滑度,修改聚类中心颜色;最后对所有聚类进行分裂和合并运算,并生成量化图像.实验结果表明,该算法具有较好的色彩量化效果（即色彩量化误差较小）,整体性能优于K-均值聚类色彩量化方案.
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| 关 键 词： | 色彩量化 聚类 图像内容 |
| 文章编号： | 1000-1735（2007）03-0310-05 |
| 修稿时间： | 2007-01-04 |
A new adaptive color image quantization algorithm |
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| WANG Xiang-yang,HU Feng-li,LIU Chun-hui. A new adaptive color image quantization algorithm[J]. Journal of Liaoning Normal University(Natural Science Edition), 2007, 30(3): 310-314 |
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| Authors: | WANG Xiang-yang HU Feng-li LIU Chun-hui |
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| Affiliation: | 1. School of Computer and Information Technique, Liaoning Normal University, Dalian 116029, China; 2. Key Lab. of Image Processing and Image Communication, Nanjing University of Posts and Communications, Nanjing 210003, China; 3. Jiangsu Province Key Lab. for Computer Information Processing Technology, Suzhou University, Suzhou 215006, China |
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| Abstract: | Color quantization is an elementary problem in image analysis and image processing.Based on the K-mean clustering,a new adaptive color image quantization algorithm is proposed.Firstly,the initial clustering center is identified according to the image characteristics,and all image pixels are clustered.Secondly,the clustering center color values are modified according to the local image smooth.Finally,the clusters are split and merged,and the quantized image is produced.Experimental results show that our color quantization algorithm has the advantage of less distortion,which performs better than that of the K-mean clustering color quantization scheme. |
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| Keywords: | color quantization clustering image content |
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