Description: matlab图像处理工具相，使用了主成分分析，ANN，SVM等方法。-This toolBox used in the image processing(feature extraction and classification)
PCA,LDA,ICA,DCT,RBF,RBE,GRNN,KNN,minimum distance,SVM, and others Platform: |
Size: 74752 |
Author:大长今 |
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Description: High information redundancy and correlation in face images result in efficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches.-High information redundancy and correlation in face images result in inefficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches. Platform: |
Size: 25600 |
Author:mhm |
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Description: 提出一种基于支持向量机( SVM)和遗传算法(GA)的离散余弦变换(DCT)域盲数字图像水印方法. 该方法能自适应于图像的局部特征. 依据图像块的局部特性,利用SVM对图像块分类,自适应地确定水印嵌入强度, GA用来优化水印嵌入位置. 实验结果表明该方法有较好的不可见性和较强对抗攻击的鲁棒性.-Based on support vector machine (SVM) and genetic algorithm (GA), discrete cosine transform (DCT) domain blind digital image watermarking method. The method adaptive to local image features. Based on the local characteristics of image block using the SVM the image block classification, adaptive to determine the embedding strength, GA to optimize the watermark embedding location. The experimental results show that the method has good invisibility and robustness of the strong against the attacks. Platform: |
Size: 449536 |
Author:郭事业 |
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Description: 针对打印扫描对图像影响的特点, 选取在图像的DCT 域上嵌入水印信息。对DCT 变换后的系数按
照他们的位置进行了特殊的分类, 通过分类后每一类中正负号的数量来表达水印信息, 增强了算法的鲁棒性。
然后对水印的嵌入位置、鲁棒性和嵌入强度进行了研究-Impact on the image for print scanning feature, select the image on a DCT domain watermark embedding. The DCT transform coefficients according to their location for a special classification, through classification in each category after the number sign to express the watermark information, to enhance the robustness of the algorithm. Then the location of the watermark embedding, robustness and embedding strength studied Platform: |
Size: 52224 |
Author:韩天明 |
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Description: 该文提出了一种在基于离散采弦变换(DCT，Discrete Coslne‘nansform)压缩域进行纹理图
像分类的方法．此方法主要利用了DCT域能量具有方向性的特电，直接在辩程长编码(RLE，Rlm I。ength
E眦ollⅢg)形成的码流中根据这种方向性来提取、组织特征矢址，对纹理图像进行分粪．此方法只需对压缩
【封像世行简单的Hu圩maⅡ解码．要处理的数据量较少，处理速度快实验结果表明．这种分类方法具有较高
的准确性．-This paper presents a string taken based on the discrete transform (DCT, Discrete Coslne' nansform) Compressed domain texture image classification method. The main advantage of this method has a directional DCT domain specific electrical energy directly in the debate process length coding (RLE, Rlm I. Ength E canthus oll Ⅲ g) formed the basis of this stream in the direction to extract, organize feature vector address points on the texture image manure. This method only on the compression seal as the World Bank [Hu Wei ma Ⅱ simple decoding. Small amount of data to be processed, fast processing speed results show. This classification method has high accuracy. Platform: |
Size: 299008 |
Author:刘东 |
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Description: 基于DCT域的鲁邦水印算法，原始图像分块DCT变换，基于纹理掩蔽特性的块分类，产生水印并嵌入提取-Lupin based DCT domain watermarking algorithm, the original image block DCT, texture classification based on block masking characteristics, generate and embed a watermark extraction Platform: |
Size: 198656 |
Author:张燕华 |
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Description: 此工程实现提取jpeg图像的DCT系数首字母概率作为jpeg重压缩检测的特征，以此特征训练出分类模板，可以检测出一张jpeg图像是单压缩还是重压缩。-Works to achieve this extract jpeg image DCT coefficients of the first letter of the probability of detection as a jpeg heavy compression feature, this feature trained classification templates that can detect a single jpeg image compression or recompression. Platform: |
Size: 7168 |
Author:赖学金 |
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Search - Dct image classification