Miao Huisi, Liang Guangming, Liu Renren, Ding Jianwen
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2016 Apr;33(2):303-7.
This paper presents a kind of automatic segmentation method for white blood cell based on HSI corrected space information fusion.Firstly,the original cell image is transformed to HSI colour space conversion.Because the transformation formulas of H component piecewise function was discontinuous,the uniformity of uniform visual cytoplasm area in the original image was lead to become lower in this channel.We then modified formulas,and then fetched information of nucleus,cytoplasm,red blood cells and background region according to distribution characteristics of the H,S and I-channel,using the theory and method of information fusion to build fusion imageⅠand fusion imageⅡ,which only contained cytoplasm and a small amount of interference,and fetched nucleus and cytoplasm respectively.Finally,we marked the nucleus and cytoplasm region and obtained the final result of segmentation.The simulation results showed that the new algorithm of image segmentation for white blood cell had high accuracy,robustness and universality.
本文提出了一种基于HSI校正空间信息融合的白细胞自动分割方法。首先,将原始细胞图像进行HSI颜色空间转换。由于H分量分段函数的变换公式不连续,导致原始图像中均匀视觉细胞质区域在该通道的均匀性降低。然后我们修改了公式,接着根据H、S和I通道的分布特征提取细胞核、细胞质、红细胞和背景区域的信息,利用信息融合的理论和方法构建仅包含细胞质和少量干扰的融合图像Ⅰ和融合图像Ⅱ,并分别提取细胞核和细胞质。最后,对细胞核和细胞质区域进行标记,得到分割的最终结果。仿真结果表明,新的白细胞图像分割算法具有较高的准确性、鲁棒性和通用性。