Description: 图像的平滑处理，包括领域平均、中值滤波以及噪声处理-image smoothing, including the area average, median filtering and noise Platform: |
Size: 122287 |
Author:Lanyan |
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Description: 图像的平滑处理，包括领域平均、中值滤波以及噪声处理-image smoothing, including the area average, median filtering and noise Platform: |
Size: 121856 |
Author:Lanyan |
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Description: 边缘提取技术边缘是图像对视觉的最主要特征，因此在计算机视觉技术中提出了多种检测边缘的算法。由于各种原因，图像常常受到随机噪声的干扰，经典的边缘检测的结果常常是将噪声误检为边缘点，而真正的边缘由于噪声干扰却可能被漏检。因而对于被噪声污染的图像来说，一种好的边缘检测方法应具有良好的噪声抑制能力，同时又有完备的边缘保持特性。-After analysing the soft threshold funetion,the smoothness threshold function is proposed by modifying the soft threshold function.because this function keeps smooth in the entire value range,some important details in the process of image denoising can be held. Firstly we detect the edge of the noising image. Platform: |
Size: 1024 |
Author:shadow |
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Description: 图像分割，具体算法参考一下论文
Zhi-Gang Tan， Xiao-Chen Heand Nelson H. C. Yung
A Novel Merging Criterion Incorporating Boundary Smoothness and Region Homogeneity for Image Segmentation-Abstract
A novel joint region merging criterion combining region homo-geneity and boundary smoothness is proposed. Previous watershed segmentation method which utilizes region homogeneity or edge integrity or both gives good results in some cases. However, for complex scenes such as images of a vehicle with irregular roadside objects reflected on the window panes, it tends to give undesired segmentation results with region boundaries not residing on real physical boundaries. Aiming at improving the segmentation of these complex scenes, we propose the incorporation of an additional measure of boundary smoothness into a new joint criterion. Based on this, an affine transform invariant measure of the smoothness of boundaries is developed, which is the equivalent width of the energy distribution function over frequencies, obtained from Fourier descriptors of the boundary. Experimental results and evaluation are presented in this paper to demonstrate the merits of the proposed method.
Key Platform: |
Size: 9216 |
Author:Jack Tan |
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Description: 人脸识别因其在安全验证系统、信用卡验证、医学、档案管理、视频会
议、人机交互、系统公安(罪犯识别等)等方面的巨大应用前景而越来越成为
当前模式识别和人工智能领域的一个研究热点。
本文提出了基于24位彩色图像对人脸进行识别的方法，介绍的主要内容是图像处理，它在整个软件中占有极其重要的地位，图像处理的好坏直接影响着定位和识别的准确率。本软件主要用到的图像处理技术是：光线补偿、高斯平滑和二值化。在识别前，先对图像进行补光处理，再通过肤色获得可能的脸部区域，最后根据人脸固有眼睛的对称性来确定是否就是人脸，同时采用高斯平滑来消除图像的噪声，再进行二值化，二值化主要采用局域取阈值方法，接下来就进行定位、提取特征值和识别等操作。经过测试，图像预处理模块对图像的处理达到了较好的效果，提高了定位和识别的正确率- Face recognition is a complex and difficult problem that is important for surveillance and security, telecommunications, digital libraries , video meeting, and human-computer intelligent interactions.
The paper introduced the method of face recognition that based on the 24 bit multicolor image, Main content that the paper introduced is the picture treatment, It occupies the extremely important position in the whole software, the quality of picture process directly influenced the accuracy rate of localization and discerning. The picture process technology that the software mainly used included : light compensating、gauss smooth and twain value method. before discerning, we compensated the light for image, then we could obtain the possible face area through the complexion, finally, the system could depend on the symmetry of eyes to make sure whether it is the face of people, at the same time, the system could eliminate noises through the method that named gauss smoothness, then we use Platform: |
Size: 2286592 |
Author:张雨 |
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Description: Regularized deconvolution can be used effectively when constraints are applied on the recovered image (e.g., smoothness) and limited information is known about the additive noise. The blurred and noisy image is restored by a constrained least square restoration algorithm that uses a regularized filter. Platform: |
Size: 2048 |
Author:ayla |
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Description: 粒子群優化演算法，應用在pgm格式影像上，將影像修飾的更平順。-Computes the smoothness of a given image by particle swarm optimization algorithm. Platform: |
Size: 18432 |
Author:lver |
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Description: 为了在抑制噪声时尽可能保留图像边缘信息，提出一种自适应各向异性高斯滤波器设计方法. 该方法由独立
强度传播（IDS）模型决定滤波器的长轴尺度，由像素的邻域平滑度决定长短轴的比例，然后根据该处的灰度梯度方
向自适应决定各向异性滤波器的长轴方向. 仿真实验表明，提出的自适应各向异性滤波器具有很强的噪声抑制和
边缘保持能力.
-In order to suppress noise, as far as possible to keep the image edge information, an adaptive anisotropic Gaussian filter design methods. The method by the independent strength spread (IDS) model determines the long axis of the filter scale, the pixel neighborhood smoothness determine the ratio of minor axis, and then there' s gray gradient direction of adaptive decision the long axis of anisotropic filter. Simulation results show that the proposed adaptive anisotropic filter has a strong noise suppression and preserve edges. Platform: |
Size: 207872 |
Author:wangcong |
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Description: vc编写数字图像处理的程序,其中有图像处理的各种方法的程序，包括图像多种扫描显示，图像增强（灰度变换、直方图均衡、图像平滑，阈值分割，多种滤波器、伪彩色增强等），图像变换（傅立叶变换、产生矩形并变换、离散余弦变换、沃尔什变换），图像复原（维纳滤波、逆滤波等等），图像编码（哈夫曼编码、香
农-费诺编码等）
-Usevc++ to write program for digital image processing, including the various of methods of image processing procedures.The project
includes a variety of scanning images show,Image enhancement (such as
gray-scale transformation, gray equilibrium, threshold division,
image smoothness , multiple filters, pseudo-color enhancement, etc.),
image transformation (such as Fourier transform, producing rectangular and transform, discrete cosine transfrm, Walsh transform), image restoration (such as Wiener filter, inverse filtering, etc.), image coding (such as Huffman coding, Shannon- Fenno coding, etc.) Platform: |
Size: 8174592 |
Author:陈侯海 |
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Description: 对子图像进行局部直方图计算，由最大方差比例阈
值确定方法计算出子图像的最佳阈值。根据局部直方图中波峰数决定是否增强子图像中被最佳
阈值划分出的低灰度区域和高灰度区的对比度。然后对已经选择性对比增强的图像进行边缘检
测。实验证明图像的区域层次更清楚，提取的边缘细节也更丰富。自适应算法则最大限度地突
出了边缘而同时保持了图像中相近灰度级的平滑性和连续性。-Image pairs local histogram calculation by the maximum variance ratio method to calculate the threshold to determine the optimal threshold value sub-image. According to several local histogram peak to decide whether the image enhancer the best threshold value was divided into low and high gray level contrast of gray areas. Then, contrast-enhanced images have been selective edge detection. Experimental results show more clearly the image of the regional level, the edge extraction details are richer. Adaptive algorithm is to maximize the prominence of the edges while maintaining a similar gray-level image smoothness and continuity. Platform: |
Size: 180224 |
Author:东方 |
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Description: 基于多帧图像插值（Interpolation）技术的方法是SR恢复技术当中最直观
的方法。这类方法首先估计各帧图像之间的相对运动信息，获得HR图像在非均
匀间距采样点上的象素值，接着通过非均匀插值得到HR栅格上的象素值，最后
采用图像恢复技术来去除模糊和降低噪声（运动估计!非均匀插值!去模糊和
噪声）。-In this paper, we propose a novel method for solv-
ing single-image super-resolution problems. Given a
low-resolution image as input, we recover its high-
resolution counterpart using a set of training exam-
ples. While this formulation resembles other learning-
based methods for super-resolution, our method has
been inspired by recent manifold learning methods, par-
ticularly locally linear embedding (LLE). Speci?cally,
small image patches in the low- and high-resolution
images form manifolds with similar local geometry in
two distinct feature spaces. As in LLE, local geometry
is characterized by how a feature vector correspond-
ing to a patch can be reconstructed by its neighbors
in the feature space. Besides using the training image
pairs to estimate the high-resolution embedding, we
also enforce local compatibility and smoothness con-
straints between patches in the target high-resolution
image through overlapping. Experiments show that our
method is very ?exible Platform: |
Size: 27595776 |
Author:qianyeyu |
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Description: 图片平滑缩放,实例利用StretchBlt实现了图像在设备上下文中的缩放-Picture smooth zooming the instance of the use of StretchBlt image scaling in the device context Platform: |
Size: 395264 |
Author:jiangmeiyu |
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Description: 对图像纹理操作需要的两个M文件，描述了纹理的粗糙度和平滑度等特征。-For image texture operations require two M file, describing the texture features such as roughness and smoothness.
Platform: |
Size: 2048 |
Author:mr deng |
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Description: A content-aware algorithm that enhances dark images, sharpens edges, reveals details in textured regions, and preserves the smoothness of flat regions is proposed. The algorithm produces an ad hoc transformation for each image, adapting the mapping functions to each image’s characteristics to produce the maximum enhancement. We analyze the contrast of the image in the boundary and textured regions, and group the information with common characteristics. These groups model the relations within the image, from which we extract the transformation functions. The results are then adaptively mixed, by considering the human vision system characteristics, to boost the details in the image. Results show that the algorithm can automatically process a wide range of images—e.g., mixed shadow and bright areas, outdoor and indoor lighting, and face images—without introducing artifacts, which is an improvement over many existing methods. Platform: |
Size: 6134784 |
Author:michael |
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Description: Deblurring Images Using a Regularized Filter
This example shows how to use regularized deconvolution to deblur images. Regularized deconvolution can be used effectively when constraints are applied on the recovered image (e.g., smoothness) and limited information is known about the additive noise. The blurred and noisy image is restored by a constrained least square restoration algorithm that uses a regularized filter.
Platform: |
Size: 1024 |
Author:bbcz |
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Search - image smoothness