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Description: 一种基于能量最小化的图像分割算法，相关论文曾经获得最佳论文奖。（用winrar解压）-based on the minimum energy of image segmentation algorithm, the relevant papers had best paper award. (Using WinRAR decompression)
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Size: 4259 |
Author: 王选 |
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Description: 一种基于能量最小化的图像分割算法，相关论文曾经获得最佳论文奖。（用winrar解压）-based on the minimum energy of image segmentation algorithm, the relevant papers had best paper award. (Using WinRAR decompression)
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Size: 4096 |
Author: 王选 |
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Description: 根据图像小波分解的特点和小波分解后高频小波系数的统计特性,构造了一种新阈值函数的去噪算法。
与传统的硬阈值、软阈值函数相比,新阈值函数考虑了图像能量分布的特点,对于每一小波系数乘以一个与自身大小相
关的降噪因子,并且新阈值函数简单易于计算,具有较强的自适应性-According to the characteristics of image wavelet decomposition and wavelet decomposition after the high-frequency statistical characteristics of wavelet coefficients, construct a new threshold function of the denoising algorithm. With the traditional hard threshold and soft threshold function, the new threshold function takes into account the characteristics of the image energy distribution, for each wavelet coefficient multiplied by a size associated with self-noise factor, and the new threshold function simple easy calculation, has a strong self-adaptability
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Size: 276480 |
Author: wang |
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Description: 数字图像的纹理分析应用实例，可以计算图像的能量，熵，惯性矩，局部平稳性和相关。-Digital image texture analysis of application examples, can calculate the image of energy, entropy, moment of inertia, local stable and relevance.
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Size: 40960 |
Author: 王伟 |
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Description: 图像融合是图像处理的一个研究热点，这里提供一种方法即局部能量最大选取规则图像融合法-Image fusion is image processing of a research hot spot that is here to provide a way to select the rules of the local energy of the largest image fusion method
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Size: 1475584 |
Author: ly |
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Description: 根据被测图像纹理背景和目标区域在小波变换域内图像能量分布的不同,以及经过多尺
度分解后在各子空间信息分布的不同,提出与背景纹理的方向无关,把目标的变化具有旋转、平移
以及尺度不变性的能量特征作为检测的依据。实验证明该方法具有较好的适应性。-According to the measured image texture background and target region in wavelet transform domain energy distribution of the different images, as well as a multi-scale decomposition in the sub-space distribution of the different information with respect to the direction of the background texture has nothing to do with changes in the target rotation, translation as well as the scale invariance of the energy feature as the basis for detection. Experiments show that the method has better adaptability.
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Size: 193536 |
Author: lee |
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Description: （1）求出两维单色数字图象的傅立叶变换以及逆变换，除对比图象效果外，还要给出以中心点作为原点图象显示方式的傅立叶变换的频谱、相位谱，并验证两维傅立叶变换的性质。
（2）傅立叶变换后，计算图象能量谱的分布范围：画出包含图象能量92.0％，94.6％, 96.4, 98.0％ 以及99.5％ 的圆圈区域。-(1) obtained two-dimensional monochrome digital image of the Fourier transform and inverse transform, with the exception of the effect of contrast images, but also given to the center as the origin of the image displayed Fourier transform spectrum, phase spectrum, and verify that two-dimensional Fourier transform nature. (2) Fourier Transform, the calculation of the distribution of image energy spectrum range: Draw contains images of energy 92.0, 94.6, 96.4, 98.0 and 99.5 of the circle region.
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Size: 2015232 |
Author: 杨怡 |
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Description: In this study, approaches of image enhancement, edge extraction, and
line-based image matching for remote sensing images are proposed. The
image enhancement includes noise reduction and contrast enhancement. We
apply wavelet shrinkage techniques to suppress noise while preserving the
sharpness of large-scale edges based on a Teager energy operator.
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Size: 5448704 |
Author: sacoura31 |
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Description: 一種基于塊樹結構的SPIHT數字圖像壓縮算法: 在分析圖像經過小波變換后所具有的特性的基礎上,提出了一種改進的SPIHT算法.由于低頻系數占據圖像的百分之九十以上的能量,在圖像的重構中十分重要,所以,對這些系數不進行壓縮而直接傳輸 而最高頻系數相對不重要,所以不做處理,只在圖像重構時以指定的數值予以重構,因此不僅提高了圖像的質量,同時提高了圖像的壓縮率.在具體的算法中,提出了塊樹的結構,減少了算法所需的內存,拓寬了算法的應用范圍.-A tree structure based on the SPIHT block of digital image compression algorithm: After the analysis of images after the wavelet transform features, based on a modified SPIHT algorithm. Due to the low frequency coefficient images occupy more than 90 percent of energy in image reconstruction is very important, so these factors do not directly transfer compression The most high-frequency coefficient is relatively unimportant, so no treatment, only when the image reconstruction be designated numerical reconstruction therefore not only improve the image quality, while improving the image compression ratio. algorithms in specific, the proposed block-tree structure, the algorithm to reduce memory requirements and broaden the scope of application of the algorithm.
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Size: 273408 |
Author: jason.. |
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Description: 基于可变区域能量最小化拟合的图像分割方法的图像分割-Variable region-based energy minimization method of fitting the image segmentation of the image segmentation
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Size: 2011136 |
Author: |
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Description: 图像分割，Minimization of Region-Scalable Fitting Energy
for Image Segmentation-LBF_v0.1:
This code implements an improved algorithm slightly modified from the original LBF model in the above paper.
A desirable advantage of this improved version of LBF algorithm is that it is very robust to contour initialization.
Author: Chunming Li, all rights reserved
E-mail: li_chunming@hotmail.com
URL: http://www.engr.uconn.edu/~cmli/
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Size: 398336 |
Author: 孙文方 |
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Description: 李纯明最新实现的局部活动轮廓模型的图像分割，比CV模型方法好很多。包含所实现的论文Minimization of Region-Scalable Fitting Energy for Image Segmentation-Li Chunming latest realization of the local active contour model for image segmentation, much better than the CV model approach. The paper contains the realization of Minimization of Region-Scalable Fitting Energy for Image Segmentation
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Size: 3272704 |
Author: syjsyj |
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Description: 在VC++6.0中实现了图像纹理信息的提取和显示，不过效果有待提高-In VC++6.0 to achieve the extraction of image texture information and display, but the effect needs to be improved
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Size: 1024 |
Author: 莉莉 |
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Description: 这是“Implicit Active Contours Driven by Local Binary Fitting Energy”（简称LBF模型）的MATLAB源代码。LBF模型是非常重要局部区域活动轮廓模型，它被广泛使用于各个领域，如MRI大脑图像分割，血管图像分割，图像偏差场纠正。-This is the "Implicit Active Contours Driven by Local Binary Fitting Energy" (referred to as the LBF model) of the MATLAB source code. LBF model is very important to local area active contour model, which is widely used in various fields, such as MRI brain image segmentation, vessel segmentation, image bias field correction.
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Size: 52224 |
Author: erdongchen1985 |
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Description: This code demomstrates an improved algorithm based on the local binary fitting (LBF) model
in Chunming Li et al s paper:
"Minimization of Region-Scalable Fitting Energy for Image Segmentation",
IEEE Trans. Image Processing, vol. 17 (10), pp.1940-1949, 2008.
Usage: These codes can be used for Matlab 7.0.4 or higher versions in Windows.
Run the Demos in the M-files for several test images. Once an image comes out, click
the mouse to generate a polygon as the initial contour: left click to get
a number of points, then right click to get the end point.
The number of iterations may need to be increased if the initial contour is too far
away from the desired object boundary. -This code demomstrates an improved algorithm based on the local binary fitting (LBF) model
in Chunming Li et al s paper:
"Minimization of Region-Scalable Fitting Energy for Image Segmentation",
IEEE Trans. Image Processing, vol. 17 (10), pp.1940-1949, 2008.
Usage: These codes can be used for Matlab 7.0.4 or higher versions in Windows.
Run the Demos in the M-files for several test images. Once an image comes out, click
the mouse to generate a polygon as the initial contour: left click to get
a number of points, then right click to get the end point.
The number of iterations may need to be increased if the initial contour is too far
away from the desired object boundary.
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Size: 269312 |
Author: Tina |
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Description: This funstion represents mean,Std,energy of image,CUMULATIVE GRAY LEVEL DISTRUBITION,mode of image, entropy, HISTOGRAM MODIFI,of an image-This funstion represents mean,Std,energy of image,CUMULATIVE GRAY LEVEL DISTRUBITION,mode of image, entropy, HISTOGRAM MODIFI,of an image..
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Size: 162816 |
Author: omid |
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Description: matlab脚本，附带例子图片。能够批量对图像进行简单处理，并计算能耗-Matlab script that comes with example pictures. Able quantities of simple processing, the image and calculate the energy consumption
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Size: 2618368 |
Author: 123321 |
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Description: 提出了一种基于非下采样Contourlet 变换的自适应图像去噪方法 首先对噪声图像进行非下采样Contourlet 变换，得到各
个尺度各个方向子带的系数，再根据该系数的能量自适应地调整去噪阈值 实验表明，与Contourlet 多尺度阈值去噪 Contourlet 自
适应阈值去噪相比，该方法在保留图像边缘细节的同时，能提高图像的PSNR 值，减少了Gibbs 现象-A new adaptive method of image de-noising based on NonSubsampled Contourlet Transform （NSCT）is presented.Firstly，
the noisy image is decomposed into a set of multiscale and multidirectional frequency subbands by NSCT， and then the threshold
is adapted automatically according to the energy of subband coefficients.Compared with the multi-scale threshold using contourlet
transform and using adaptive threshold based on contourlet transform， the simulation results show that the performance of this
method is superior in PSNR， meanwhile it can maintain the image edge and reduce the Gibbs phenomen
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Size: 200704 |
Author: jjdjjf |
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Description: 图像融合是图像处理的重要一环，但图像融合目前未有通用的技术，此代码试采用小波变换和局部能量相结合的方法对图像进行融合，试图达到一个较好的图像信息保留和处理-Image fusion is an important part of image processing, but the image fusion is at present no common technology, this code sample using wavelet transform and the method of combining local energy for image fusion, trying to achieve a better image information retention and disposal
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Size: 1024 |
Author: zhaoyongjie |
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Description: This paper presents a novel active contour model in a variational level set formulation for simultaneous segmentation and
bias field estimation of medical images. An energy function is formulated based on improved Kullback-Leibler distance (KLD)
with likelihood ratio. According to the additive model of images with intensity inhomogeneity, we characterize the statistics of
image intensities belonging to each different object in local regions as Gaussian distributions with different means and variances.
Then, we use the Gaussian distribution with bias field as a local region descriptor in level set formulation for segmentation(This paper presents a novel active contour model in a variational level set formulation for simultaneous segmentation and
bias field estimation of medical images. An energy function is formulated based on improved Kullback-Leibler distance (KLD)
with likelihood ratio. According to the additive model of images with intensity inhomogeneity, we characterize the statistics of
image intensities belonging to each different object in local regions as Gaussian distributions with different means and variances.
Then, we use the Gaussian distribution with bias field as a local region descriptor in level set formulation for segmentation and
bias field correction of the images with inhomogeneous intensities. Therefore, image segmentation and bias field estimation are
simultaneously achieved by minimizing the level set formulation)
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Size: 2441216 |
Author: song86
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