用两种不同的图像分割方法(直方图阈值法和匹配法)实现图像分割，并且对两种方法的优缺点做了比较。
We use two different image segmentation methods, histogram algorithm and match algorithm, to implement image segmentation and compare the advantage and disadvantage of two methods.
灰度直方图算法有效避免了直方图法的漏检问题和灰度图法的误检问题，同时采用双阈值法提高了检测效率。
The method can effectively avoid the problems of undeteeting and false drop, and it uses the dual-threshold method to improve the detection efficiency.
Otsu法是最常用的利用图象一维灰度直方图的阈值化方法之一，本文的目的是将它推广到二维直方图。
One of the most useful thresholding techniques using gray-level histogram of an image is the OTSU method. The objective of this paper is to extend it to the 2-dimensional histogram.
阈值的曲率分析即基于灰度直方图累计函数的峰项一峰谷检测法中曲率函数存在着选择最适参数的问题。
Curvature segmentation method is a multi-threshold selection method through searching valley based on histogram cumulative distribution function.
阈值的曲率分析即基于灰度直方图累计函数的峰项一峰谷检测法中曲率函数存在着选择最适参数的问题。
Curvature segmentation method is a multi-threshold selection method through searching valley based on histogram cumulative distribution function.
应用推荐