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.
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.
出处
《计算机系统应用》
2017年第6期176-181,共6页
Computer Systems & Applications
基金
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)
关键词
图像分类
特征提取
K-MEANS聚类
二分法
image classification
feature extraction
K-means clustering
binary classification
