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小波变换
说明： 小波变换是图像的多尺度、多分辨率分解，它可以聚焦到图像的任意细节，被称为数学上的显微镜。近年来，随着小波理论及其应用的发展，已将小波多分辨率分解用于像素级图像融合。把两个正交偏振的图片融合(Wavelet transform is the multi-scale and multi-resolution decomposition of an image. It can focus on any detail of the image and is called the mathematical microscope.In recent years, with the development of wavelet theory and its applications, wavelet multi-resolution decomposition has been applied to pixel-level image fusion)
- 2020-12-14 10:40:02下载
- 积分：1
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curvelet
利用curvelet波将不同聚焦图像进行分解，然后利用局部能量最大的方法将图像合成，得到清晰的图像、(Curvelet waves using different focus image decomposition, and then make use of local energy will be the largest image synthesis methods have been given clear images,)
- 2009-01-14 13:58:31下载
- 积分：1
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map
MAP超分辨率重建算法,实现图像的超分辨率重建。(the MAP code for super-resolution)
- 2011-01-06 12:30:42下载
- 积分：1
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BP-classification
BP神经网络图像分类程序,代码很好懂，适合初学者。样本选的不是很大。(BP neural network image classification procedures, code easy to understand for beginners. Sample selected is not great.)
- 2013-07-24 18:19:51下载
- 积分：1
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数字全息
实现了计算机全息图制作和再现，而且再现图片效果良好(A value of two LohmanIII coded images detour phase hologram, by testing the normal operation. The result with image, hologram, and reproducing figure three part.)
- 2019-01-16 22:10:31下载
- 积分：1
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AGCWD
來自於2012年IEEE TIP的論文 Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution ，其功能為透過分析影像中的直方圖統計資訊，達到快速增強影像對比的結果。(From the 2012 IEEE TIP paper "Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution"which functions as a histogram of the image by analyzing statistical information, to quickly enhance image contrast.)
- 2021-01-27 16:48:42下载
- 积分：1
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a-series-of-programs
ch5_1_1： 图像灰度线性变换 （§5 联合开发网 - pudn.com
- 2020-07-03 05:20:01下载
- 积分：1
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OpenCVexe_02
读取一个文件夹中的任意数量图片，并对读入图片进行尺寸调整、灰度化处理、直方图均衡化处理，并显示图片(Read number of images from a folder, and adjust the size,do gray processing, histogram equalization processing with the pictures , and display pictures.)
- 2013-12-15 10:58:10下载
- 积分：1
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MbufAllocColor
这个函数分配一个数据缓冲区与多个颜色指定系统上的乐队。这种类型的缓冲区允许表示彩色图像(例如,RGB)。
这个函数为每个指定分配缓冲区,一个二维表面颜色乐队。您可以使用MbufAlloc1d()和MbufAlloc2d()来创建单独的乐队一或二维
数据缓冲区,分别。
分配一个缓冲区后,我们建议您检查是否操作成功,使用MappGetError(),或通过验证,不是M_NULL返回的缓冲区的标识符。(This function allocates a data buffer with multiple color bands on the specified system. This type of buffer allows for the representation of color images (for example, RGB).
This function allocates buffers that have a two-dimensional surface for each specified color band. You can use MbufAlloc1d() and MbufAlloc2d() to create single band one- or two-dimensional
data buffers, respectively.
After allocating a buffer, we recommend that you check if the operation was successful, using MappGetError(), or by verifying that the buffer identifier returned is not M_NULL.)
- 2015-12-03 19:55:48下载
- 积分：1
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Visual-C-MATLAB-image-processing
本书系统地介绍了图像处理与识别的基本原理、典型方法和实用技术。全书共分12章，第1章～第6章是图像处理与识别的基础内容，包括图像科学综述、MATLAB语言图像编程、图像增强、图像分割、图像特征提取和图像识别；第7章～第10章是图像处理与识别的工程实例，涵盖了医学图像处理、文字识别和自导引小车路径识别等应用实例，并结合理论算法，提供了大量MATLAB代码程序，以帮助读者掌握如何使用MATLAB语言快速进行算法的仿真、调试和估计等方法。第11章～第12章，是两个综合性较强的实例，分别是Visual C++实现的基于神经网络的文字识别系统和车牌定位系统。 本书附带的光盘给出了各个章节列举的实例的源代码，同时赠送了28个常用数字图像处理算法的Visual C++代码实现。 本书讲解深入浅出，实例程序丰富，注重理论与实践相结合。本书可作为计算机应用、自动化、图像处理与模式识别、机电一体化专业的高年级本科生或研究生的参考书，也可供从事图像处理与识别的研究人员和工程技术人员阅读参考。(This book introduces the basic principles of image processing and recognition of the typical methods and practical skills . The book is divided into 12 chapters , Chapter 1- Chapter 6 is the basis of the content of image processing and recognition , including images scientific overview , MATLAB programming language images, image enhancement, image segmentation, image feature extraction and image recognition Chapter 7- Section Chapter 10 is a project example image processing and recognition , covering the medical image processing, character recognition and self- guided trolley path recognition example , the combination of theory and algorithms, for a lot of MATLAB code procedures to help readers learn how to use MATLAB language fast simulation , debugging and estimation methods algorithm. Chapter 11- Chapter 12 , are two examples of highly integrated , namely Visual C++ implementation based on neural network character recognition system and a license plate positioning system. The book)
- 2014-03-26 11:09:37下载
- 积分：1
