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L1
说明： 基于L1范数的多帧图像超分辨率图像重建算法，在原有算法基础上改进，提高重建精度和效率。(Based on the L1 norm of the multi-frame image super-resolution image reconstruction algorithm, the improvement on the basis of the original algorithm to improve the reconstruction accuracy and efficiency.)
- 2012-08-20 20:43:00下载
- 积分：1
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07-1541175762-687107
赵巨峰，陶小平，*冯华君，徐之海，李奇, 基于梯度的波纹图像质量评价 [J], 浙大学报工学版, 2010, 44(5):870-874.(Gradient based ripple image quality assessment)
- 2020-06-16 20:20:02下载
- 积分：1
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hog
方向梯度直方图的全部代码，广泛应用于行人检测行人检测(Histogram of Oriented Gradients code Pedestrian Detection)
- 2013-10-19 20:49:05下载
- 积分：1
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alpha稳定分布噪声的matlab实现
alpha稳定分布噪声的matlab实现(alpha stable distribution noise matlab implementation)
- 2021-04-06 08:59:02下载
- 积分：1
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SIFTtutorial
基于SIFT的图像配准.最全版本。学习SIFT之必备资料。(image mosaic based on MATLAB)
- 2009-05-29 14:00:16下载
- 积分：1
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GASA
基于遗传模拟退火和Otsu法的图像分割。采用一种基于模拟退火算法(SA)的混合遗传算法(GASA),来进行Otsu方法选择阈值，其中进行求解时是非线性的遗传算法（GA）的应用优化了求阈值过程，并尽可能地减少其运算量,而加入SA则避免了遗传算法(GA)常见的早熟收敛现象,从而实现有效简单的图像分割。
(adopt hybrid genetic algorithm(GASA) based on simulated annealing algorithm,choose threshold by Ostu method,which applicated the non-linear genetic algorithm(GA) allows us to optimize the process of threshold. And, where possible, to reduce the computation. in order to achieve effectivly and simply image segmentation. Combination SA is to avoid the common phenomenon about premature convergence in genetic algorithm (GA) to achieve a simple and effective image segmentation.)
- 2009-12-10 16:54:58下载
- 积分：1
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graywatershed
说明： 一个基于matlab的改进的灰度图像分水岭分割算法，该算法改进了普通的分水岭算法的过分割等问题，经过一系列处理可是分割结果更加准确。(Matlab based on gray-scale image of the improved watershed segmentation algorithm to improve the ordinary over-segmentation of watershed algorithm and so on, but after a series dealing with a more accurate segmentation results.)
- 2009-08-19 13:32:03下载
- 积分：1
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2
说明： Research on TDOA / AOA Hybrid Positioning System Based on Kalman filtering
- 2012-08-26 10:57:34下载
- 积分：1
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siftDemoV4
SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。[1] 该方法于1999年由David Lowe[2] 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004年再次经David Lowe整理完善后发表于International journal of computer vision（IJCV）。截止2014年8月，该论文单篇被引次数达25000余次。(SIFT, namely Scale Invariant Feature Transform (Scale-invariant feature transform, SIFT), it is a description for image processing. This description has scale invariance, can detect critical point in the image, it is a local feature descriptor. [1] The method in 1999 by David Lowe [2] First published in the International Conference on Computer Vision (International Conference on Computer Vision, ICCV), 2004 was again perfect finishing after David Lowe published in the International journal of computer vision (IJCV) . As of August 2014, the paper cited the number of times a single article of more than 25,000 times.)
- 2020-07-15 20:18:51下载
- 积分：1
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LevelSetmatlabcodes
说明： 水平集图像分割方法的一个经典DEMO，05年CVPR上的文章的实现程序，无偿呈现(Level set image segmentation methods of a classical DEMO, 05 years CVPR articles realization procedures, free show)
- 2008-10-07 14:59:41下载
- 积分：1
