CAJ | 학술논문

为了对彩色图像进行有效分割,提出了一种将分水岭算法与自动种子区域生长相结合的分割算法.该算法首先利用基于边缘信赖度的各向异性扩散方程对图像进行平滑预处理,以便在去除图像噪声的同时,保持图像的边缘信息,从而有效解决了分水岭算法的过分割现象;然后在此基础上,设计了一种基于色调均值差的自动种子区域选取算法,即根据色调均值和饱和度均值的相似性来对分水岭算法分割形成的区域进行种子区域生长,并利用小图像区域消解算法对区域生长所遗留的小区域进行消解,减少了图像中小区域的数目,从而实现了对彩色图像的有效分割.实验结果表明,该算法简单、快速,且能得到较其他算法更好的分割效果.
위료대채색도상진행유효분할,제출료일충장분수령산법여자동충자구역생장상결합적분할산법.해산법수선이용기우변연신뢰도적각향이성확산방정대도상진행평활예처리,이편재거제도상조성적동시,보지도상적변연신식,종이유효해결료분수령산법적과분할현상;연후재차기출상,설계료일충기우색조균치차적자동충자구역선취산법,즉근거색조균치화포화도균치적상사성래대분수령산법분할형성적구역진행충자구역생장,병이용소도상구역소해산법대구역생장소유류적소구역진행소해,감소료도상중소구역적수목,종이실현료대채색도상적유효분할.실험결과표명,해산법간단、쾌속,차능득도교기타산법경호적분할효과.
A color image segmentation algorithm by integrating watershed with automatic seeded region growing is proposed in this paper.Anisotropic diffusion based on edge confidence is used for image smoothing preprocessing,which can eliminate noise,while maintain image edge information,and so that the watershed's over-segmentation problem is effectively solved.The algorithm of automatic seeded region selection based on the mean hue difference is designed to make seeded region growing based on the regions similarity of mean hue value and mean saturation value.Furthermore,an algorithm of small region removing is designed to removing the small region.As a result,the color image segmentation is efficiently realized.The experimental results demonstrate that this algorithm is simple and fast,can obtain better segmentation results compared with other algorithms.