Description: We have added following files in matlab
1.global thresholding
2.Histogram equalization
3.low and high pass filtering
4.various masks
5.zooming
6.power law Platform: |
Size: 775168 |
Author:bhoomika |
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Description: 对纤维类图像进行前期处理,效果较好,包括高通滤波,平滑中值滤波,全局阈值分割,二值化,反相,最后求取骨架-Image of the fiber pre-processing, better, including high-pass filter, smoothing filter, global thresholding, binarization, RP to get the final frame Platform: |
Size: 181248 |
Author:杨平平 |
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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: DM码的识别,运用凸包法检验条码边缘,采用全局和局部相结合的阈值分割法-DM code identification, use of bar code edge of the convex hull method test, using a combination of global and local thresholding segmentation method Platform: |
Size: 6262784 |
Author:何萍 |
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Description: 编写一个自动估计阈值的全局阈值化程序。程序的输出为分割后的的二值图。并要求用上面编写的阈值化程序对图中的目标进行分割。
-Write an automatic estimate the threshold of global thresholding procedure. Output of the program for the segmentation of the binary image. Written above the threshold procedure to split the target figure. Platform: |
Size: 61440 |
Author:zhengguoo |
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Description: 数字图像处理,实现自动全局阈值分割,代码和图片经过matlab调试已通过。-Digital image processing, automatic global thresholding segmentation, and pictures through the matlab code debugging has been passed. Platform: |
Size: 154624 |
Author:李宝林 |
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Description: Thresholding is used to segment an image by setting all pixels whose intensity values are above a threshold to a foreground value and all the remaining pixels to a background value.
Whereas the conventional thresholding operator uses a global threshold for all pixels, adaptive thresholding changes the threshold dynamically over the image. This more sophisticated version of thresholding can accommodate changing lighting conditions in the image, e.g. those occurring as a result of a strong illumination gradient or shadows. Platform: |
Size: 474112 |
Author:dimpee |
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Description: Thresholding is used to segment an image by setting all pixels whose intensity values are above a threshold to a foreground value and all the remaining pixels to a background value.
Whereas the conventional thresholding operator uses a global threshold for all pixels, adaptive thresholding changes the threshold dynamically over the image. This more sophisticated version of thresholding can accommodate changing lighting conditions in the image, e.g. those occurring as a result of a strong illumination gradient or shadows. Platform: |
Size: 804864 |
Author:dimpee |
Hits:
Description: Thresholding is used to segment an image by setting all pixels whose intensity values are above a threshold to a foreground value and all the remaining pixels to a background value.
Whereas the conventional thresholding operator uses a global threshold for all pixels, adaptive thresholding changes the threshold dynamically over the image. This more sophisticated version of thresholding can accommodate changing lighting conditions in the image, e.g. those occurring as a result of a strong illumination gradient or shadows.-Thresholding is used to segment an image by setting all pixels whose intensity values are above a threshold to a foreground value and all the remaining pixels to a background value.
Whereas the conventional thresholding operator uses a global threshold for all pixels, adaptive thresholding changes the threshold dynamically over the image. This more sophisticated version of thresholding can accommodate changing lighting conditions in the image, e.g. those occurring as a result of a strong illumination gradient or shadows.ff Platform: |
Size: 1727488 |
Author:dimpee |
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Description: 数字图像分割,基于全局阈值的分割方法,分割图像的matlab实现示例-Digital image segmentation, the segmentation method based on global threshold and image segmentation of matlab implementation examples Platform: |
Size: 216064 |
Author:gao |
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