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MRF2.2
MRF代码实现,visual C++ 代码，不错，可以尝试(an implementation of MRF)
- 2021-03-11 15:09:26下载
- 积分：1
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facelocation
说明： 在一幅图像中对单人脸进行定位,原理是基于多模板匹配(locate face in one picture in which there is a single face，its theory base on many templates matching)
- 2021-04-18 10:48:51下载
- 积分：1
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SIFT
说明： 用于特征提取，比较传统的一个方法，应用范围广，适合初学者(For feature extraction)
- 2020-12-17 09:52:41下载
- 积分：1
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lable_parallel
说明： 八值图像连通区域标记，为每个连通区域分配一个唯一的标号，处理后的图像按照从左到右，从上到下的顺序获得连续的标号(Binary image connected region eight marks, for each connected region a unique label distribution deal with in accordance with the image from left to right, from top to bottom order of access to continuous labeling)
- 2008-10-24 20:20:11下载
- 积分：1
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ELMexam
使用极限学习机ELM算法进行遥感图像分类的源代码，很好的例子(Use extreme learning machine ELM remote sensing image classification algorithm source code, a good example)
- 2020-12-27 10:29:03下载
- 积分：1
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SPIHT_bandelet
我写的基于bandelet域的spiht图像压缩算法。效果比经典的SPIHT好。文章已发，希望代码对大家有用。(I wrote bandelet domain-based SPIHT image compression algorithm. SPIHT is better than a good classic. Article has been distributed, I hope the code useful for everyone.)
- 2007-07-26 15:37:24下载
- 积分：1
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fire
基于VC的各种火焰真实模拟,有效的显示了火焰的效果.(fire)
- 2009-07-20 10:18:06下载
- 积分：1
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VesselSegmentation
医学图像分割是数字图像分析中的重要环节，是长期以来国内外研究的热点问题，本代码专注于血管图像领域的分割。(Medical image segmentation is an important part of digital image analysis, is a hot topic at home and abroad for a long time, this code is to focus on areas of blood vessel image segmentation method.)
- 2020-12-15 15:59:13下载
- 积分：1
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图像处理中全世界都用的经典图片
matlab图像处理中经典图片，包括lena，baboon，等(MATLAB image processing classic pictures, including Lena, baboon, etc.)
- 2018-05-21 09:39:05下载
- 积分：1
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SURF-based-image-stitching
SURF算法作为一种新近出现的特征提取方法，在重复度、独特性、鲁棒性3个方面，均超越或接近以往提出的同类方法，并在计算效率上具有明显的优势。本代码采用SURF算法检测图像并进行坐标变换与图像拼接。
采用SURF算法对图像进行检测，其主要是用Hessian矩阵对图像进行检测，对图像的特征提取之后找到图像的特征点。之后采用最近临快速匹配（NN）、随机抽样一致性（RANSAC）算法和最小二乘法参数优化（LM）对特征点进行提纯匹配。最后在两幅图像中进行坐标变换，达到统一坐标系和图像拼接的效果。
(SURF（Speeded Up Robust Features） as a method of feature extraction which newly appeared is over or nearly previous method on duplication, uniqueness, and robustness and have a clear advantage on computational efficiency. This code uses the SURF and coordinate transformation algorithm to detect image and image matching.
This code uses the SURF algorithm of image detection, the main is to use the Hessian matrix of image for testing, to find the image after image feature extraction of feature points. After we used Nearest Neighbor (NN), Random Sample Consensus (RANSAC) algorithm and least square parameter optimization for purification of matching feature points. Coordinate transformation in the last two images, to coordinate system to achieve the same image stitching.
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- 2014-08-30 15:12:42下载
- 积分：1
