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bianyuanjiance
利用matlab,对图像进行高斯滤波,然后通过非极大值抑制,设置双阈值,实现图像边缘检测(Image edge detection)
- 2018-01-24 10:51:07下载
- 积分:1
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856636333
窗口置外形图片的应用--数码时钟,易语言写的图形图像编程,很好的参考。(Window profile picture-- Application of digital clock, easy graphic language programming, a good reference.)
- 2013-09-19 09:37:08下载
- 积分:1
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matlab
LANDWEBER迭代函数用于图像显示二维图像的显示和应用(LANDWEBER iteration function for image display and application of two-dimensional image display)
- 2011-06-14 15:13:14下载
- 积分:1
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zuidashang
说明: 最大熵是图像阈值分割里常用的一种简单且效果明显的方法。该代码是最大熵算法的快速递推形式。(Maximum Entropy is Image Threshold Segmentation ri common a simple and obvious effect method. The code is maximum entropy algorithm rapid recursion forms.)
- 2021-01-05 21:18:54下载
- 积分:1
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Image-region-annotation-semantic
区域语义多样性密度的图像标注。图像标注的好论文。(Image region annotation semantic diversity density. Image annotation good paper.
)
- 2014-09-13 14:16:28下载
- 积分:1
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tesseract_OCR识别实例工程(vs2015+win10)+tesseract 4.0(32位和64位编译库)
编译好的tesseract 4.0库 for VS2015 (含lib、dll和头文件),另附一个tessreact 4.0进行图片识别的示例程序,并给出运行具体配置方法!
- 2020-04-09下载
- 积分:1
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image_processing_quantize
图像处理功能:求the MSE/SNR/PSNR and the quantized image( the MSE/SNR/PSNR and the quantized image)
- 2021-01-07 21:28:52下载
- 积分:1
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density-estimation-2015
2015年最新国外算法,基于加权视觉词典的人群密度估计(crowd entimatin by a weighted bag of visual word model)
- 2015-10-13 22:59:46下载
- 积分:1
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zhiwenfenge(matlab)
有关指纹识别预处理阶段图像分割的源程序,用matlab言语做的,很好用(The fingerprint identification preprocessing stage image segmentation of the source, using MATLAB language to do, very good use)
- 2012-05-07 10:03:45下载
- 积分:1
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SAR滤波MATLAB程序
孔径雷达图像固有的相干斑噪声严重降低了图像的可解译程度,影响了后续目标检测、分类和识别
等应用。因此,SAR图像的相干斑抑制问题一直是SAR图像应用的重要课题之一。一个理想的去斑算法应该在平
滑的同时保持图像的边缘等细节不受损失,目前存在各种各样的算法,但没有一种方法能够完美的满足这一要求。
本文对SAR图像的相干斑抑制问题进行了全面系统的研究,分析了相干斑的形成原因,总结了目前存在的相干斑
抑制算法的主要思路,介绍了具有代表性的算法,并对各种算法的性能进行了定性分析和比较,给出了去斑算法定
量评估方法(The inherent speckle noise of the aperture radar image seriously reduces the degree of interpretation of the image, and affects the detection, classification and recognition of the subsequent targets.
And other applications. Therefore, the problem of speckle suppression in SAR images has been one of the most important topics in the application of SAR images. An ideal speckle algorithm should be flat
At the same time, the details such as edges of images are not lost. There are various algorithms at present, but none of them can satisfy this requirement perfectly.)
- 2020-12-21 11:09:08下载
- 积分:1