基于主凹点检测的血细胞图像去粘连分割算法研究
|
摘要
针对医学中血细胞图像研究中粘连细胞难以分割的问题,提出一种基于主凹点检测的分割算法。通过滤波预处理去除图像的噪声以改善图像质量,基于改进的活动轮廓模型初步提取细胞轮廓,通过寻找主凹点的方法准确定位粘连细胞凹点位置,标记并融合细胞图像轮廓、粘连形状等特性,实现粘连细胞分离。实验结果表明,该方法具有很好的分割准确度和完整度,且该算法具有普适性。
Aiming at the problem of cell cluster splitting in the research of blood cells in medical image,it puts forward a segmentation algorithm based on the concave point detection. Firstly,through filtering pre-processing to remove the noise of the image and to improve the image quality. Then,extracting the contour in the early based on improved active contour model. Finally,positioning the cell adhesion concave point accurately by using the method of looking for the main concave points. Experimental results show that this method has good accuracy and integrity of segmentation,and the algorithm is universal.
Aiming at the problem of cell cluster splitting in the research of blood cells in medical image,it puts forward a segmentation algorithm based on the concave point detection. Firstly,through filtering pre-processing to remove the noise of the image and to improve the image quality. Then,extracting the contour in the early based on improved active contour model. Finally,positioning the cell adhesion concave point accurately by using the method of looking for the main concave points. Experimental results show that this method has good accuracy and integrity of segmentation,and the algorithm is universal.
引文
[1]GOCLAWSKI J,SEKULSKA-NALEWAJKO J,ANIOL P.A segmentation method for microscope images of BY-2 tobacco cells in suspension cultures[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2010,10(4):192-1960.
[2]SALMAN N H.Image segmentation based on watershed and edge detection techniques[J].The International Arab.Journal of Information Technology,2006,3(2):104-110.
[3]方红萍,方康玲,刘新海.自适应H-minima的改进分水岭堆叠细胞分割算法[J].计算机应用研究,2016,33(5):1587-1590.
[4]王鑫,胡洋洋,杨慧中.基于迭代腐蚀的粘连细胞图像分割研究[J].南京理工大学学报,2016,40(3):285-289.
[5]吴宇翔,龚涛,梁文宇.基于改进的免疫模糊聚类方法的医学图像分割[J].微型机与应用,2016,35(6):51-53.
[6]CONG P S,SUN J Z.Application of watershed algorithm for segmenting overlapping cells in microscopic image[J].Journal of Image and Graphics,2006,11(12):1781-1784.
[7]方艳红,王梁.多图像融合的连续腹腔影像图像分割[J].电子技术应用,2014,40(8):126-127.
[8]KICHENASSAMY S.Gradient flows and geometric active contour models[C].Proceedings of 5th International Conference on Computer Vision,1995:810-815.
[9]TONY C,LUMINITA V.Active contours without edges[J].IEEE Transactions on Image Processing,2001,10(2):266-276.
[10]Li Chunming,KAO C Y,GORE J C,et al.Minimization of region-scalable fitting energy for image segmentation[J].IEEE Transactions on Image Processing,2008,17(10):1940-1949.
[2]SALMAN N H.Image segmentation based on watershed and edge detection techniques[J].The International Arab.Journal of Information Technology,2006,3(2):104-110.
[3]方红萍,方康玲,刘新海.自适应H-minima的改进分水岭堆叠细胞分割算法[J].计算机应用研究,2016,33(5):1587-1590.
[4]王鑫,胡洋洋,杨慧中.基于迭代腐蚀的粘连细胞图像分割研究[J].南京理工大学学报,2016,40(3):285-289.
[5]吴宇翔,龚涛,梁文宇.基于改进的免疫模糊聚类方法的医学图像分割[J].微型机与应用,2016,35(6):51-53.
[6]CONG P S,SUN J Z.Application of watershed algorithm for segmenting overlapping cells in microscopic image[J].Journal of Image and Graphics,2006,11(12):1781-1784.
[7]方艳红,王梁.多图像融合的连续腹腔影像图像分割[J].电子技术应用,2014,40(8):126-127.
[8]KICHENASSAMY S.Gradient flows and geometric active contour models[C].Proceedings of 5th International Conference on Computer Vision,1995:810-815.
[9]TONY C,LUMINITA V.Active contours without edges[J].IEEE Transactions on Image Processing,2001,10(2):266-276.
[10]Li Chunming,KAO C Y,GORE J C,et al.Minimization of region-scalable fitting energy for image segmentation[J].IEEE Transactions on Image Processing,2008,17(10):1940-1949.