CAJ | 학술논문

贴壁细胞图像中细胞大小形状各不相同，细胞内部分区域与细胞边缘具有相近的灰度，部分细胞边缘较细或者断裂，为后续正确的分割计数带来了困难。传统的基于区域的图像分割很容易造成过分割和欠分割，前者得不到完整的细胞边缘，后者使细胞内部出现大量杂质点。为解决以上问题，首先利用Gabor滤波嚣的方向性滤波特性对细胞边缘进行增强，然后选择细胞边缘对应的离友度点作为种子点进行8连通约束的区域生长，最后对区域生长后的图像进行形态学闲运算消除小的空洞和毛刺，得到完整的细胞边缘圈像。与阈值法和边缘检测法的比较结果表明，该算法分割效果较好且对噪声幂敏感。
첩벽세포도상중세포대소형상각불상동，세포내부분구역여세포변연구유상근적회도，부분세포변연교세혹자단렬，위후속정학적분할계수대래료곤난。전통적기우구역적도상분할흔용역조성과분할화흠분할，전자득불도완정적세포변연，후자사세포내부출현대량잡질점。위해결이상문제，수선이용Gabor려파효적방향성려파특성대세포변연진행증강，연후선택세포변연대응적리우도점작위충자점진행8련통약속적구역생장，최후대구역생장후적도상진행형태학한운산소제소적공동화모자，득도완정적세포변연권상。여역치법화변연검측법적비교결과표명，해산법분할효과교호차대조성멱민감。
The wall-stuck cells are different in sizes and shapes, the gray grade of cell inner regions is close to that of cell edges, the parts of the cell edges are thin and broken, leading to the difficulty for afterwards correctly segmenting and counting the number of cells. The traditional image segmentation based on regions was easy to be over segmented or inadequately segmented. The former cannot obtain the complete edge of cell and the latter obtains a number of ira-purity spots. In order to solve the above problem,first,Gabor filter was used to enhance the edges in different direc- tions;then, the high gray grade points corresponding to cell edges were used as seed points to carry out the regional growth with eight connective restrictions;finally,the morphologically closed operation was done for the image after the regional growth to eliminate small cavities and burrs and to get the image with complete cell edge. The results show that this algorithm is of good effect of segmentation and not sensitive to noise compared with threshold method and edge detection method.