Description: 基于MATLAB实现的使用小波实现的纹理图像分割,具体过程是先对图像进行三级小波分解,每级都对系数聚类并指导下一
级分类,分割效果较好-Based on MATLAB realize realize the use of wavelet texture image segmentation, the specific process is the first image 3 wavelet decomposition, each level of clustering coefficient and to provide guidance to the next level of classification, segmentation better Platform: |
Size: 66560 |
Author:王伟 |
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Description: 基于小波变换的纹理图像分割,虽然不是我编的,但是希望对大家有用-Based on wavelet transform texture image segmentation, although not what I made, but I hope useful for everyone Platform: |
Size: 205824 |
Author:植韬荣 |
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Description: 基于小波和模糊理论的纹理分割方法,过程非常详细-Based on wavelet theory and fuzzy texture segmentation method, a very detailed process Platform: |
Size: 286720 |
Author:机机 |
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Description: 基于Gabor变换的图像纹理识别。
提出了一种改进的Gabor变换的图像纹理增强算法,将空域的纹理图像变换到联合空间频率域并将联合空间
频率域的能量分布作为掌纹的特征,Gobar滤波器在频域内对子块其主方向上频率能量分布进行滤波,特征向量进行了匹配
识别,增强特征纹线信息并对核心区域进行多方向空间频率能量滤波合成,同时也对滤波算法进行了优化,有效地减少了运
算量。-Gabor transform based image texture recognition. An improved image of the Gabor transform texture enhancement algorithm, the airspace of the texture image transform frequency domain to the joint space and joint space frequency domain characteristics of the energy distribution as a palm, Gobar filter pair in the frequency domain block its the main direction of the energy distribution of the frequency filtering, feature vectors were matched to identify, enhance the features of ridge information as well as the core region of multi-dimensional spatial frequency energy filter synthesis, but also on the filtering algorithm has been optimized, effective in reducing the computational complexity. Platform: |
Size: 820224 |
Author:爱学习 |
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Description: 图像分割,这是基于脑部的MRI图像的分割,其中有多个m文件-Segmentation, which is based on the MRI brain image segmentation, in which there are several m files Platform: |
Size: 1395712 |
Author:zhao |
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Description: 基于标记的Watershed图像分割算法是一种改进的分水岭算法,它很好地被应用于人脸及其他一些场景图像的分割。把该方法引入高分辨遥感图像的分割,并针对遥感图像的特点,在分割之前采用中值滤波对高分辨率遥感图像进行预处理;同时,在分割过程中采用用小波滤波器替代Butterworth滤波器对梯度图像的低通滤波。不同地物特征Quickbird图像的分割实验表明,对于纹理比较均一的高分辨率遥感图像,该方法避免了过分割现象,且效率较高;但对于纹理比较复杂的图像,该方法具有一定的局限性。-Watershed based image segmentation algorithm tag is an improved watershed algorithm, it well be applied to the face and some other scenes segmentation of images. The introduction of high-resolution remote sensing of the method for segmentation of images and features for remote sensing image, the segmentation using median filtering before the high-resolution remote sensing image is preprocessed also used in the segmentation process Butterworth filter with a wavelet filter replacement the gradient image of low-pass filter. Characteristics of different objects that Quickbird image segmentation, for texture and uniform high-resolution remote sensing images, the method avoids over-segmentation phenomenon, and efficient but more complex texture images, this method has some limitations .
Platform: |
Size: 973824 |
Author:xiliao |
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Description: Colourhistogram
II. TEXTURE FEATURE EXTRACTION IN CBIR
An overview of the proposed CBIR system is illustrated
in Fig. 1. The proposed algorithm, Label Wavelet Transform
(LWT), is based on color image segmentation [1], and it is
an extension of DWT-based texture feature extraction method.
The 2-D DWT is computed by applying separable filter banks
to the gray level images. The detail images Dn,1, Dn,2,
and Dn,3 are obtained by band-pass filtering in a specific
direction, and they can be categorized into three frequency
bands: HL, LH, HH band, respectively. Each band contains
different directional information at scale n. The texture feature
is extracted from the variance (ó2
n,i) of the coefficients cn,i of
the detail image Dn,1, Dn,2, and Dn,3 at different scale n.To
represent the texture feature of an image q, the texture feature
vector of DWT is defined as [2]:
TDWT (q) = [ó2
1,1, ó2
1,2, ó2
1,3, ..., ó2N
max,3], (1)
where Nmax denotes the largest scale. In this work, Nmax Platform: |
Size: 1024 |
Author:lavanya |
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