This paper first brings forward a new approach for binary image thinning by using the pulse transmission attribute of PCNN.
该文首次提出了如何用PCNN的脉冲传播特性进行二值图像细化的新方法。
The preprocessing steps include drawing scanning, binary image transforming, line thinning and cure tracing.
预处理包括图纸扫描输入、图象二值化、图象平滑与去噪、线条细化和曲线跟踪。
Binary and thinning is more important in fingerprint image pre-processing, this paper discussed the pros and cons of various thinning algorithms and through coding implemented these algorithms.
二值化和细化是指纹图像预处理阶段比较重要的环节,本文讨论了多种细化算法的优劣,并通过编码实现了这些算法。
Fingerprint image pre-processing has five parts: filtration in gray-scale image, binarization, filtration in binary image, thinning and filtration in thinning image.
指纹图像的预处理又可以分为灰度图滤波去噪、二值化、二值化图像去噪、细化和细化后去噪五个部分。
Thinning binary images is an important process in image analysis.
两值图象的细化是图象分析的重要环节。
Thinning binary images is an important process in image analysis.
两值图象的细化是图象分析的重要环节。
应用推荐