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2DLDA_PK_LDA_for_feature_extraction
- These are the codes in \"A note on two-dimensional linear discrimant analysis\", Pattern Recognition Letter In this paper, we show that the discriminant power of two-dimensional discriminant analysis is not stronger than that of LDA under the assu
CVPR09-ScSPM
- 基于稀疏编码和线性塔式匹配的图像分类算法。-This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR 09 paper "Linear Spatial Pyramid Matching using Sparse Coding for Image Classification".
proj2_luw4
- Second project in graphics course. Still very simple, but this time is creating 3D objects, and very simple rotation using GL function, which is actually just stack manipulation. 3D objects drawn are not using GL function, but my own code, there s ma
image-reconstruction---CPP-codes
- 包括了图像复原的几乎所有算法源代码，如线性复原、非线性复原、盲目复原与几何复原等。-Includes almost all of image restoration algorithm source code, such as linear recovery, non-linear recovery, rehabilitation and other blind rehabilitation and geometry.
ImageEhance
- 图像增强用代码，包含线性变换算法，对数变换算法，imageadjust算法等。-image enhance codes。linear transformation method log method and imageadjust method。
Image-Classification
- 本文实现了09年CVPR的文章Linear Spatial Pyramid Matching using Sparse Coding for Image Classification-This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR 09 paper "Linear Spatial Pyramid Matching using Sparse Coding for
SPM_SC
- This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR 09 paper Linear Spatial Pyramid Matching using Sparse Coding for Image Classification .基于空间金字塔匹配的稀疏编码，用于图像检索，识别与分类-This package contains the Matlab codes im
test
- 在文件夹里有1，2，4题的代码 第一题，灰度线性变换 第二题，伽马变换 第三个，对比度拉伸变换 第四题，直方图均衡化 第五题，最大熵阈值方法(There are 1, 2, 4 codes in the folder First question, gray level linear transformation Second questions, gamma transform Third, contrast stretching transformations Fourth
线性高光谱解混常用算法程序
- 涵盖了几种常用的基于线性混合模型的高光谱数据解混算法的代码，可以借鉴！(It covers several common codes of hyperspectral data fusion algorithm based on linear mixed model, which can be used for reference.)