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HIO-algorithm
使用HIO算法实图像现相位恢复，包含源代码，简单实用，适于初学者学习。(HIO algorithm using real image recovery phase now, including source code, simple and practical, suitable for beginners to learn.)
- 2021-04-26 20:48:45下载
- 积分：1
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image_search
很简单的基于颜色的图像检索系统，闲时做的(Very simple color-based image retrieval system at leisure to do the)
- 2008-05-22 17:24:21下载
- 积分：1
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GLGS
灰度差分统计法提取图像纹理特征，包括平均值，对比度，熵，等特征，matlab函数，直接接使用，无需修改，中文注释，通俗易懂(Gray difference statistical method is used to extract texture features of image, including mean value, contrast, entropy, etc., matlab function, directly used without modification, Chinese annotation, and easy to understand)
- 2021-04-17 15:08:53下载
- 积分：1
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tif2raw
说明： 一个matlab小程序，用来将tif序列图片转换成envi可读取的raw文件(A matlab applet for converting TIF sequence images into envi readable raw files)
- 2019-02-19 16:20:23下载
- 积分：1
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Retinex-of-image-enhancement
本文提出了基于Retinex可变框架模型的图像增强算法。实验证明该算法不但能有效的增强图像的质量，还能避免Retinex算法中带来的光晕效应，同时算法速度与同类型的图像增强算法比较更快速。之后，将这种理论运用到对彩色图像增强中，取得了很好的处理效果。
（使用同方知网浏览器打开）(This paper presents a framework model based on variable Retinex image enhancement algorithm. Experiments show that this algorithm not only can effectively enhance the image quality, but also to avoid the Retinex algorithm brought halo effect, and algorithm speed and the same type of image enhancement algorithm is relatively faster. After this kind of theory to the enhancement of color images, achieved good treatment effect. (Text browser to use the same side open))
- 2011-06-18 03:21:20下载
- 积分：1
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Digital Image Processing
1.RAW格式转换为BMP格式
2.灰度线性拉伸
3.局部处理
4.几何处理
5.二值化
6.模板匹配
7.影像融合(1.RAW format converted to BMP format
2. grayscale linear stretch
3. local processing
4. geometric processing
5. binaryzation
6. template matching
7. image fusion)
- 2018-01-17 18:55:16下载
- 积分：1
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hdr-example
基于加权最小二乘的滤波器。实现应用的例子。(weighted least square)
- 2021-04-22 10:28:48下载
- 积分：1
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New-folder
Image watermark using 3 level DWT
- 2015-06-23 17:00:18下载
- 积分：1
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gmm
混合高斯模型使用K（基本为3到5个） 个高斯模型来表征图像中各个像素点的特征,在新一帧图像获得后更新混合高斯模型,用当前图像中的每个像素点与混合高斯模型匹配,如果成功则判定该点为背景点, 否则为前景点。通观整个高斯模型，他主要是有方差和均值两个参数决定，,对均值和方差的学习,采取不同的学习机制,将直接影响到模型的稳定性、精确性和收敛性。由于我们是对运动目标的背景提取建模，因此需要对高斯模型中方差和均值两个参数实时更新。为提高模型的学习能力,改进方法对均值和方差的更新采用不同的学习率 为提高在繁忙的场景下,大而慢的运动目标的检测效果,引入权值均值的概念,建立背景图像并实时更新,然后结合权值、权值均值和背景图像对像素点进行前景和背景的分类。(Gaussian mixture model using K (essentially 3-5) Gaussian model to characterize the features of each pixel in the image, in the image of the new frame for updated Gaussian mixture model, with each pixel in the image with a Gaussian mixture current model matching, if successful, determined that the point of the background points, otherwise the former attraction. Throughout the entire Gaussian model, he mainly has two parameters determine the variance and the mean, the mean and variance of the study, to take a different learning mechanism, will directly affect the stability, accuracy and convergence model. Since we are moving object extraction of the background modeling, so the need for the Gaussian model variance and mean two parameters real-time updates. In order to improve the learning ability of the model, an improved method for updating the mean and variance of different learning rates to improve in the busy scene, large and slow moving object detection results, the introduction of)
- 2014-03-25 09:01:12下载
- 积分：1
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dehaze
基于边界约束和上下文正则化的图像快速去雾算法(Effi cient Image Dehazing with Boundary Constraint and Contextual)
- 2021-04-14 20:18:54下载
- 积分：1
