###
计算机系统应用英文版:2017,26(6):176-181
本文二维码信息
码上扫一扫!
面向照片-图形图像的二分类方法
(嘉兴学院 数理与信息信息工程学院, 嘉兴 314001)
Binary Classification Method for Picture Images and Graphic Images
(College of Mathematics Physics and Information Engineering, Jiaxing University, Jiaxing 314001, China)
摘要
图/表
参考文献
相似文献
本文已被:浏览 2208次   下载 3458
Received:October 09, 2016    Revised:November 21, 2016
中文摘要: 随着科技的发展,图像应用技术日趋重要,许多图像应用技术对照片图像和图形图像的要求和效果是不同的.针对照片图像和图形图像分类的问题,本文提出了一种新的基于二分法的图像分类方法,这种方法混合了颜色、边缘和纹理三种图像特征,通过对图像特征值的K-means聚类分析,实现了照片图像和图形图像的分类.经实验验证,该方法在照片图像和图形图像的分类上取得较好的结果.
中文关键词: 图像分类  特征提取  K-means聚类  二分法
Abstract:With the development of technology, image application technology becomes increasingly important, and many image application technologies have a different requirement and effect for picture images and graphic images. In order to solve the problem of image classification for picture images and graphic images, this paper proposes a new image classification method based on binary classification, which mixes with three kinds of image features such as color, edge and texture. Through the analysis of image feature values that are used K-means clustering method, we achieve the classification for picture images and graphic images. The experimental results show that the method has a good classification effect for picture images and graphic images.
文章编号:     中图分类号:    文献标志码:
基金项目:浙江省自然基金(LY15F020039);嘉兴学院国家级大学生创新创业训练计划(201610354007)
引用文本:
郑灵凤,胡胜,朱蓉,林青青.面向照片-图形图像的二分类方法.计算机系统应用,2017,26(6):176-181
ZHENG Ling-Feng,HU Sheng,ZHU Rong,LIN Qing-Qing.Binary Classification Method for Picture Images and Graphic Images.COMPUTER SYSTEMS APPLICATIONS,2017,26(6):176-181