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diedaifa
- 利用matlab 实现对灰度图象的二值化处理
Image-inverse-normalization
- 程序实现了图像的二值化，把一幅BMP图像二值化成黑白图像，同时也可以实现黑白的颠倒-Procedures for the realization of the image binarization to a BMP image into a binary black and white images, but also black-and-white reversal can be achieved
diedaifa-erzhihua
- 实现彩色图像灰度化，迭代法实现灰度图像二值化-To achieve gray-scale color images of, iterative method to achieve gray-scale image binarization
diedaifa
- 这是个关于图像迭代法分割算法的源程序，在matlab上实现-This is iterative image segmentation algorithm on the source, to achieve in matlab
diedaifa
- 迭代法求阈值的原理： 基于逼近的思想，步骤如下： 1． 求出图象的最大灰度值和最小灰度值，分别记为ZMAX和ZMIN，令初始阈值T0=(ZMAX+ZMIN)/2； 2． 根据阈值TK将图象分割为前景和背景，分别求出两者的平均灰度值ZO和ZB 3． 求出新阈值TK+1=(ZO+ZB)/2； 4． 若TK=TK+1，则所得即为阈值；否则转2，迭代计算。 - Iteration method threshold principle: based on the i
diedaifa
- 该代码的作用是对灰度图像进行阈值分割，是一种迭代的思想。-The role of the code is gray-scale image segmentation is an iterative thinking.
diedaifa
- 用于灰度图像二值化的MATLAB代码，算法采用迭代法-For gray-scale image binarization MATLAB code, algorithm uses iterative method
diedaifa
- 图像处理的阈值分割的算法-迭代法，迭代法的的设计思想是，开始时选择一个阈值作为初始估计值，然后按某种策略不断的改进这一估计值，直到满足给定的准则为止。-Thresholding algorithm for image processing- iterative method, iterative method of design idea is to choose a threshold value at the start as the initial estimate, and then p
diedaifa
- 自编函数实现迭代法二值化。通过迭代法求取阈值，对图像进行分割。-Function to achieve self iterative method binarization. Strike threshold through an iterative process of image segmentation.
diedaifa
- 利用迭代法确定图像阙值，进而对灰度图像进行阙值分割-Iteration method is used to determine the image threshold and threshold of gray image segmentation
diedaifa
- 迭代式阈值选择是对双峰法的改进，先选择一个近似阈值，将图像分为两部分，计算两部分的均值，用两部分的均值的平均值作为新的分割阈值，重复操作直至均值不变。-Iterative threshold selection is an improvement on the bimodal method. First an approximate threshold, divide the image into two parts, calculate the average of the two part