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median
一维中值滤波方法去噪和二维中值滤波方法去噪！(denoise by median，can remove noise of 1D&2D！)
- 2011-08-06 13:06:51下载
- 积分：1
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chepai
车牌识别 里面包含了程序源代码还有图像，对彩色图片识别大有用处
(chepai shibie)
- 2009-12-26 11:38:04下载
- 积分：1
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MRF2.0
说明： 在VC++下基于MRF来进行的图像分割源代码(In VC++ For MRF-based image segmentation source code)
- 2008-08-29 14:43:10下载
- 积分：1
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车辆牌照识别
说明： 车辆牌照识别，比较简单的识别系统，可能由于数据库的不足，导致其还存在一些误差(Vehicle license plate recognition, a relatively simple recognition system, may be due to the lack of database, resulting in some errors.)
- 2020-06-25 03:20:02下载
- 积分：1
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提取图形的七阶不变矩
提取图形的七阶不变矩，简单易行，利用求得特征矩进行图像的识别(It is simple and easy to extract the seven order moment of the graph, and the image is identified by using the characteristic moment.)
- 2018-01-22 09:03:57下载
- 积分：1
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pcnn图像分割
PCNN 灰度图像，图像分割matlab程序(PCNN_GrayImage_Segmentation)
- 2020-07-03 10:00:02下载
- 积分：1
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bandpassfilter
带通滤波器的例子,详细的看，适合初学matlab和图形图像处理的例子(band pass filter example, the detailed, suitable for beginners Matlab and graphic examples of image processing)
- 2007-02-15 10:56:17下载
- 积分：1
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MODPCNNFUSION
本程序实现了基于m-PCNN的医学图像融合算法，即多通道PCNN图像融合。(use for fusion)
- 2012-03-09 10:00:09下载
- 积分：1
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my-DPCM
对图像进行预测编码，使用DPCM编码方案，实现代码简单易懂(images of predictive coding, the use of DPCM coding scheme to achieve easy-to-read code)
- 2007-06-15 09:58:51下载
- 积分：1
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Code自适应
传统的图像分割方法可以分为基于阈值、边缘、区域的方法等，而传统的分割方法在复杂图像分割中效果不好。为了提高图像分割的性能，我们提出了一种基于局部自适应窗口的Otsu方法。首先，分析了传统阈值法在复杂图像分割中不能很好地形成的原因，比较了全局阈值和局部阈值对图像分割的影响。其次，提出了根据局部信息自适应地改变局部窗口大小的方法，分析了该方法的特点。最后，证明了所提出的新方法优于其他方法。实验结果表明，与其他传统方法相比，该方法能保持更多的细节，获得更满意的结果。(The traditional image segmentation methods can be divided into thresholding, edge and region methods. The traditional segmentation methods do not perform well in the segmentation of complicated images. In order to improve the performance of image segmentation, we propose an adaptive windowed range-constrained Otsu method based on local information.First, the reason why traditional thresholding methods do not perform well in the segmentation of complicated images is analyzed. Therein, the influences of global and local thresholdings on the image segmentation are compared. Secondly, a method of adaptively changing the local window size based on local information is proposed, and the characteristics of the proposed method are analyzed. Finally, the superiority of the proposed method over other methods, It is validated by the experiments that the proposed method can keep more details and acquire much more satisfying results as compared with the other conventional methods.)
- 2018-10-24 15:04:08下载
- 积分：1
