Description: 可以打开真彩色或是256色位图图像,进行彩色转灰度、中值滤波、均值滤波、otsu算法图像二值分割等处理。-Can open the true color or 256 colors bitmap images, change color to gray, median filter, mean filter, otsu algorithm for image segmentation, such as binary treatment. Platform: |
Size: 93184 |
Author:张蔚 |
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Description: 本程序主要是一些学习影像处理时会用到的程序,其中包括: color to gray , segement RGB,、mean filter、median filter、user defined thresholding、otsu、Histogram equalization、Sobel edge detection、Prewitt edge detection,并可将边缘侦测所得到的信息以彩色线条贴至原图-This procedure is mainly learning image processing procedures will be used, including: color to gray, segement RGB,, mean filter, median filter, user defined thresholding, otsu, Histogram equalization, Sobel edge detection, Prewitt edge detection, and Edge detection can be the message to paste the image color lines Platform: |
Size: 1389568 |
Author:Johnson Huang |
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Description: 利用Otsu算法进行图像分割实现简单,速度快,效果也好-Otsu algorithm using image segmentation to achieve a simple, fast and effective or Platform: |
Size: 345088 |
Author:蚂蚁 |
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Description: 代码1:优化过的Otsu程序,纯C编写
代码2:优化过的中值滤波程序,纯C编写
代码3:快速连通域检测程序,用于团块分析,纯C编写
代码4:MeanShift图像分割程序,纯c编写
代码5:WaterShed图像分割程序,c++编写,可直接运行,看分割效果-Code 1: The optimized program Otsu, pure C
code 2: The optimized procedure median filter, pure C
code 3: Fast connected component detection program for mass analysis, pure C
code 4: MeanShift image segmentation procedure, pure c
code 5: WaterShed image segmentation program, c++ write, direct running, see segmentation Platform: |
Size: 12169216 |
Author:韦立庆 |
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Description: 这是我读“图像识别与人工智能”研究生是,在实验室做图像处理与跟踪实验所用的框架程序。里面已经包含了如下函数模块:
图像显示:单幅图像显示,连续文件名的序列图像显示,SRC(纯数据图像文件)序列图显示
图像滤波、增强:均值滤波,灰度拉伸,图像减背景并拉伸
图像分割:自适应门限阈值分割,基于梯度的分割,基于最大熵的分割,OTSU分割,
图像加噪:图像加入随机噪声,序列图加噪声
图像轮廓:轮廓提取(只能对0-255二值图),轮廓跟踪(只能对0-255二值图),
其他:图像差分,腐蚀,膨胀
说明:因为是实验室做实验用的,所以界面做的很简单,大家多多谅解。但内容还是听丰富的,既有师兄师姐们积累的成果,也有我的两年经验。各函数都有很详细的中文注释,希望能给大家带来帮助,少走弯路。-The software contains the following function modules:
Image display: single image, the image sequence of consecutive file names SRC (pure data image files) sequence diagram showsImage filtering, enhancement: the mean filter, gray stretch, the image background subtraction and tensileImage Segmentation: Adaptive threshold threshold segmentation, gradient-based segmentation, segmentation based on maximum entropy, OTSU split,Image noise: images by adding random noise sequence diagram plus noiseImage contours: contour extraction (only 0-255 binary image), the contour tracking (only 0-255 binary diagram)Other: image difference, erosion and dilationDescription: laboratory experiments, so the interface to do the very simple, we a lot of understanding. Or listen to the rich, both brothers Shijie accumulated results of two years experience. Each function has a very detailed notes in Chinese, I hope we can bring help to avoid detours. Platform: |
Size: 3980288 |
Author:罗蛟 |
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