Description: 该文件夹中有四个matlab文件，说明如下：
binariztion.m: 二值化主程序，分别调用下面三种二值化算法。
otsu.m: 表示otsu全局二值化算法。
kittlerMet.m: 表示kittler 最小分类错误(minimum error thresholding)全局二值化算法。
niblack.m: 表示niblack局部二值化算法。
coins.bmp: 原始灰度图片。
coins_bw_otsu.bmp: otsu全局二值化结果。
coins_bw_kittler.bmp: kittler 最小分类错误全局二值化结果。
coins_bw_niblack.bmp: niblack 局部二值化结果。-
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In that folder there are four matlab file, as follows:
binariztion.m: the binarization main program, call the following three binarization algorithms.
otsu.m: the otsu global binarization algorithm.
kittlerMet.m: kittler minimum classification error (minimum error thresholding) global binarization algorithm.
niblack.m: niblack local binarization algorithm.
coins.bmp: the original gray-scale images.
coins_bw_otsu.bmp: global Otsu binarization results.
coins_bw_kittler.bmp: kittler minimum classification error global binarization results.
coins_bw_niblack.bmp: niblack local binarization results. Platform: |
Size: 55296 |
Author:小米 |
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Description: The main function for local thresholding.
averagefilter.m A subroutine - a faster version of MATLAB s build-in fspecial( average , [3 3]).
bradley.png-The main function for local thresholding.
averagefilter.m A subroutine- a faster version of MATLAB s build-in fspecial( average , [3 3]).
bradley.png Platform: |
Size: 209920 |
Author:zhz |
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Description: Texture-Aware Fast Global Level Set Evolution-Due to its intrinsic advantages such as the ability to automatically handle complex shapes and topological changes, the level set method has been widely used in image segmentation. Nevertheless, in addition to be computational expensive, it has the limitation to very often lead to a local minimum because of the energy functional to be minimized is non-convex. In this work, we use the geometric active contours and the image thresholding frameworks to design a novel method for global image segmentation. The local lattice Boltzmann method is used to solve the level set equation. The proposed algorithm is therefore effective and highly parallelizable. Experimental results on satellite, natural and medical images demonstrate the effectiveness and the efficiency of the proposed method when implemented using an NVIDIA graphics processing units
The present Matlab code is the implementation of our work.
For using:
1- Open the main code (TAFGLSE.m),
2- Put the adress of the image you w Platform: |
Size: 529408 |
Author:许雄文 |
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Search - local thresholding matlab