CAJ | 학술논문

如何对彩色图像中的目标进行快速、精确的有效分割是计算机视觉和图像分析的重点和难点.提出了一种基于区域的彩色图像分割方法.该方法首先选择合适的彩色空间,提取出图像中的每个像素点的颜色、纹理、位置等综合特征,形成特征向量空间;在特征空间中,运用改进的ISODATA算法自适应地确定初始聚类数目和聚类中心,然后对图像进行聚类和区域分割,最后抽取出图像区域的特征,并与相类似的方法进行了比较实验.实验结果表明,该方法能够产生较好的分割效果及较快的分割速度,适合于基于图像区域检索系统,具有较好的应用价值.
여하대채색도상중적목표진행쾌속、정학적유효분할시계산궤시각화도상분석적중점화난점.제출료일충기우구역적채색도상분할방법.해방법수선선택합괄적채색공간,제취출도상중적매개상소점적안색、문리、위치등종합특정,형성특정향량공간;재특정공간중,운용개진적ISODATA산법자괄응지학정초시취류수목화취류중심,연후대도상진행취류화구역분할,최후추취출도상구역적특정,병여상유사적방법진행료비교실험.실험결과표명,해방법능구산생교호적분할효과급교쾌적분할속도,괄합우기우도상구역검색계통,구유교호적응용개치.
How to fast, accurately and effectively segment objects in the color images is the key point in the computer vision and image analysis. This paper introduces a method of region-based color image segmentation. This method first extracts color, texture, and location features for each pixel form integrative feature vectors by selecting suitable color space to form the feature space. In the feature space, the initial cluster center and the number are determined by the improved ISODATA algorithm adaptively. then an image is clustering and separated into regions. Finally, the features of regions are extracted. The experimental results and the comparision with the similar approach are provided. Experimental results show the proposed method has high segmentation speed and good sementation results, and it is fit for region-based image retrieval system and has better application values.