摘要
在组织工程培养细胞图像检测中,需要得到较完整的清晰轮廓线以获取生长信息。为了适应这种需求,提出了一种边缘检测综合算法。首先应用小波尺度独立边缘检测方法,得到简洁的边缘;然后采用图像融合的方法,结合Canny和动态聚类方法得到最终的细胞分割图。实验结果证明了该算法的可行性和有效性。
To investigate cultural cell growth information in tissue engineering, it is important to get clear contour line of cell. An edge detection algorithm was proposed. First it got rough edge by scale_independ algorithm of wavelet transform, then adopted algorithm of image fusion that combines Canny and clustering measures to get final segmenting result, it is proved validity and feasibility by experiment result. As an integrate technique for image segmentation can apply widely in image processing field.
出处
《计算机应用》
CSCD
北大核心
2006年第2期400-402,共3页
journal of Computer Applications
关键词
组织细胞
小波变换
边缘检测
图像融合
tissue cell
wavelet transform
edge detection
image fusion
