【摘要】 提出基于自适应多尺度阈值和种子点增长的混合方法自动分割彩色血液细胞图像。首先对原始图像直方图进行多尺度滤波 ,根据它的尺度空间图特性 ,确定合理的阈值 ,完成对胞核的分割和白细胞的检出。其次 ,利用局部颜色特性及全局形态特性控制种子点增长 ,完成对白细胞浆区域的分割。该方法对白细胞的检出率为 98% ,分割效果主观评价为好的占 93% ,它能有效地分割白细胞区域更多还原

【Abstract】 A hybrid segmentation algorithm is proposed for automatic segmentation of blood cell images based on adaptive multi scale thresholding and seeded region growing techniques. Firstly, an adaptive and scale space filter (ASSF) is applied to image histogram and a scale space image is built. According to the properties of the scale space image, proper thresholds can be obtained to separate the nucleus from the original image and the white blood cells are located. Secondly, the local color similarity and global morphological criteria constrain seeded region growing in order to finish the segmentation of the cytoplasm. The detection accuracy of white blood cell is 98% and the segmentation accuracy based on the subjective evaluation is 93%. Test shows that this algorithm is effective for automatic segmentation of white blood cells.更多还原