CAJ | 학술논문

近年来随着机器视觉、模式识别和基于内容的图像检索等技术的不断提高以及彩色图像的大量使用,图像分割特别是彩色图像的分割显示出越来越重要的地位.为此提出了一种快速有效的彩色图像分割方法,主要包括三个步骤:首先将RGB颜色空间转换成HSV空间,把图像中的像素点根据饱和度和亮度划分为奇异点和非奇异点;然后对非奇异点和奇异点分别采用基于色调和灰度直方图进行分割;最后综合这两种分割结果,采用区域合并技术进行合并.实验结果表明,该方法对彩色图像能够有效地提取目标物体,具有一定的鲁棒性.
근년래수착궤기시각、모식식별화기우내용적도상검색등기술적불단제고이급채색도상적대량사용,도상분할특별시채색도상적분할현시출월래월중요적지위.위차제출료일충쾌속유효적채색도상분할방법,주요포괄삼개보취:수선장RGB안색공간전환성HSV공간,파도상중적상소점근거포화도화량도화분위기이점화비기이점;연후대비기이점화기이점분별채용기우색조화회도직방도진행분할;최후종합저량충분할결과,채용구역합병기술진행합병.실험결과표명,해방법대채색도상능구유효지제취목표물체,구유일정적로봉성.
In recent years, with the advancement of machine vision, pattern recognition and content-based image retrieve and the wide use of color images, image segmentation, especially color image segmentation, has played a more and more important role. Therefore, a fast and effective segmentation method for color image was proposed, which mainly included three steps. Firstly RGB color space was transformed into HSV space, and image pixels were divided into singular and non-singular points according to their saturation and intensity; then the singular and non-singular points were segmented respectively based on hue level histogram and grey level histogram respectively; finally region merging method was adopted to merge the previous results of segmentation. The experimental results show that this method can effectively extract color image of the object and have certain robustness.