Description: 使用基于统计的方法提取图像的纹理特征，得到六个纹理描绘子-The use of statistical methods based on image texture features extracted by the six texture descriptor Platform: |
Size: 2695168 |
Author:kkk |
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Description: 纹理是普遍存在的视觉现象，其可以描述地形、植物、矿石、纤维和皮肤等等物体的表面特征。纹理结构在图像中反映其图像像素取值的空间变化情况，这种变化具有某中统计规律，在纹理区域内的各部分具有大致相同的结构-Visual texture is a common phenomenon, which can describe the terrain, plants, minerals, fiber and skin surface features of objects and so on. Texture in the image reflect the image pixel values of the space changes, this change has a certain statistical regularity in the texture of the various parts of the region have about the same structure Platform: |
Size: 38912 |
Author:田茹 |
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Description: Content-based medical image retrieval is now getting more and more attention in the
world, a feasible and efficient retrieving algorithm for clinical endoscopic images is urgently
required. Methods: Based on the study of single feature image retrieving techniques, including color
clustering, color texture and shape, a new retrieving method with multi-features fusion and relevance
feedback is proposed to retrieve the desired endoscopic images. Results: A prototype system is set
up to evaluate the proposed method’s performance and some evaluating parameters such as the
retrieval precision & recall, statistical average position of top 5 most similar image on various features, etc.
are therefore given. Conclusions: The algorithm with multi-features fusion and relevance feedback
gets more accurate and quicker retrieving capability than the one with single feature image retrieving
technique due to its flexible feature combination and interactive relevance feedback. Platform: |
Size: 359424 |
Author:gokul/goks |
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Description: IEEE文章和改进的灰度共生矩阵，结构统计方法，用来提取图像纹理特征-IEEE paper and Improved GLCM, the structure of statistical methods used to extract the image texture features Platform: |
Size: 2407424 |
Author:lida |
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Description: Color Texture Classification Approach Based on Combination of Primitive Pattern Units and Statistical Features - pdf Platform: |
Size: 489472 |
Author:Nitromira |
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Description: Texture Analysis Using DWT for Grape Plant Species Classification:-
By observing leaf, we can easily identify plant but it is difficult to identify its species. In this project we developed an algorithm that gives user the ability to identify plant species based on photographs of the leaf. The core theme of this application is an algorithm that acquires statistical features of the leaves, and then classifies the species based on a novel combination of the computed texture feature analysis and wavelet analysis. While implementing this algorithm we have considered the Grape plant and its four species viz. Clone, Sonaka, Thomson and Manik. The algorithm is first trained against several samples of known plant species and then used to classify unknown query species. By using this algorithm we have achieved 93.33 efficiency-Texture Analysis Using DWT for Grape Plant Species Classification:-
By observing leaf, we can easily identify plant but it is difficult to identify its species. In this project we developed an algorithm that gives user the ability to identify plant species based on photographs of the leaf. The core theme of this application is an algorithm that acquires statistical features of the leaves, and then classifies the species based on a novel combination of the computed texture feature analysis and wavelet analysis. While implementing this algorithm we have considered the Grape plant and its four species viz. Clone, Sonaka, Thomson and Manik. The algorithm is first trained against several samples of known plant species and then used to classify unknown query species. By using this algorithm we have achieved 93.33 efficiency Platform: |
Size: 169984 |
Author:Ismail Bagalkote |
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Description: 基于 AAM 的人脸特征定位方法在建立人脸模型过程中，不但考虑
局部特征信息，而且综合考虑到全局形状和纹理信息，通过对人脸形状特征和纹
理特征进行统计分析，建立人脸混合模型，即为最终对应的 AAM 模型。-AAM facial features localization method based on face model in establishing the process, not only consider local feature information, and considering the overall shape and texture information through facial shape and texture features for statistical analysis, facial hybrid model , is the final corresponding AAM model. Platform: |
Size: 711680 |
Author:李猛 |
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Description: 一幅图像的纹理是在图像计算中经过量化的图像特征。图像纹理描述图像或其中小块区域的空间颜色分布和光强分布。纹理特征的提取分为基于结构的方法和基于统计数据的方法。一个基于结构的纹理特征提取方法是将所要检测的纹理进行建模，在图像中搜索重复的模式，该方法对人工合成的纹理识别效果较好。但对于其他图像中的纹理识别，基于统计数据的方法效果更好。-A texture image is the image in the calculation of the quantized image features. Spatial color distribution and intensity distribution image texture descriptor of the image, or wherein the small area. Texture feature extraction method into the structure-based and statistics-based approach. It is detected to be a texture modeling of texture feature extraction structure-based approach, in the image search repeating patterns, the texture recognition method of the preferred synthetic effects. But for other image texture recognition process based on statistical data of better effect. Platform: |
Size: 8372224 |
Author:黄蓉 |
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Search - texture statistical features