搜索资源列表
123
- 一种基于方向信息的鲁棒型Hausdorff距离匹配方法。该方法采用方向信息提取图 像边缘,通过计算边缘匹配率( edge matching rate, EMR)获得候选匹配区域,然后采用修正后的Hausdorff距离构造 相似性测度。实验结果表明,该方法加快了匹配过程,提高了抗噪性能,并能够准确匹配含有遮挡和伪边缘点的图 像,从而解决了基于传统Hausdorff距离匹配方法因噪声点、伪边缘点和出格点而造成的误匹配问题。-Based on the direction of inform
arm+fpga+ccd
- 提出了基于嵌入式技术CCD 采集系统的新方法,并以ARM微处理器和FPGA 芯片为核心设计了嵌入式CCD 采集系统,解决了传统采集方法中系统过于庞大和复杂的问题,具有结构简单、小型化和智能化的特点。试验结果表明,该系统实现了CCD 输出图像的高速采集和实时显示,数据采集速率达到5 MHz。-Embedded technology based on CCD acquisition system A new method, and ARM microprocessors and FPGA chip
MutuaInformationandinterestpoints
- 提出了一种优化的图像配准算法。首先把图像中的兴趣点及其角度信息提取出来，利用互信息准则，得到需要的配对点，得到两幅或多幅图像的拼接自然的完整图像, 实验表明，该算法是有效的。-An optimized image registration algorithm. First of all, the image of interest points and their point of view of information extracted, using the criteria of mutu
3
- 摘要:为了提高图像复原算法的性能 ,提出了一种改进的奇异值分解法估计图像的点扩散函数。从图像的退化离散模型 出发 ,对图像进行逐层分块奇异值分解 ,并自动选取奇异值重组阶数以减少噪声对估计的影响。利用理想图像奇异值向 量平均能谱指数模型 ,估计点扩散函数奇异值向量的频谱 ,再反傅里叶变换得到其时域结果。实验结果表明 ,该方法能 在不同信噪比情况下估计成像系统的点扩散函数 ,估计结果比原有估计方法有所提高 ,有望为图像复原算法的预处理提 供一种有效的手段。-Abstract : T
自适应加权中值滤波算法
- 提出了一种基于相似度函数的自适应加权中值滤波算法。该方法首先通过噪声检测确定图像中的噪声点,然后 根据窗口内噪声点的个数自适应地调整滤波窗口的尺寸,并根据相似度大小,巧妙地将滤波窗口内各个像素点自适应分 组并赋予相应的权重,最后对检测出的噪声点进行加权中值滤波。计算机模拟实验结果表明:该算法既能有效地滤除噪 声,又能较好地保护图像细节,比标准中值滤波具有更优良的滤波性能。-A similarity function based on adaptive weighted medi
mmsp08
- Feature extraction is a key issue in contentbased image retrieval (CBIR). In the past, a number of texture features have been proposed in literature, including statistic methods and spectral methods. However, most of them are not able to accu
show
- This function displays an image, automatically setting the colour map to grey if it is a 2D image, or leaving it as colour otherwise, and setting the axes to be equal . The image is also displayed as TrueSize , that is, pixels on the screen match pix
Image_Paper_XuXG
- 图象分割是图象处理中的一项重要工作，目前手工与自动相结合的分割方法在实际工作中得到了广泛应用。本文根据图象经Maar变换后的特征，采用新的判断准则，提出了一种复杂物体边缘定位算法，可以对具有尖角特征的物体轮廓进行快速准确地提取，同时利用矢量化方法消除毛刺，使跟踪获得的边界更符合物体的实际轮廓特征。对多种图象的实验表明本文方法十分有效。-Image segmentation is an important image processing, the current combination of m
matlabDIP
- DIP programs related to various function . image segmentation,filter on salt & pepper noise on flowers.tif,program to show the bit plane slicing.program to introduce gaussian noise in the image and to restore the image by removing the noise using
fusetool
- Image Fusion is the process of combining information of two or more images into a single image which can retain all important features of the all original images. Input to fusion is a set of images taken from different modalities of the same scene. O
Energy-Efficient-Cooperative-Image-Transmission-(
- We compare the energy efficiency of some transmission schemes in wireless sensor networks. By constraining the system to end-to-end throughput requirements, we assume that the nodes in multi-hop and cooperative schemes operate at a spectral e
Image-fusion
- 这是一篇图像融合方面的博士论文，在多尺度变换的基础上进行图像融合处理，实验结果表明能取得很好的融合效果。-This is an image integration doctoral thesis, in a multi-scale transformation based on image fusion, experimental results show that fusion can be achieved very good results.
Image-Splicing
- Splicing operation may introduce inconsistencies in organized as follows. In Section 2, we introduce scene illumination estimation methods. In Section 3, the proposed method based on illumination inconsistency is introduced. Section 4 present
image-matching--
- 首先对图像 进行高斯和 Wallis 滤波处理，然后采用简化 SIFT 算法进行特征点提取，最后通过特征点双向 匹配方法实现图像的精确匹配。通过对缺陷版图图像的试验验证了该方法具有匹配点数量 多、准确率高、无重复点等优点。-First of all Gaussian image filtering and Wallis and simplified SIFT feature point extraction algorithm, and finally through the fea
Kernel-Regression-for-Image-Processing
- In this paper, we make contact with the field of nonparametric statistics and present a development and generalization of tools and results for use in image processing and reconstruction. In particular, we adapt and expand kernel regression ide
Channel-Division-drak-image-enhancement
- 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 f
image-perocessing
- matlab code for show image and read the image
image-segmentation
- 针对目前传统的枸杞分级主要采用人工方法， 费时费力且效率不高的缺点， 提出了一种基于机器视觉技术对枸杞 进行自动分类的方法。 采用数字图像处理技术对枸杞图像进行了预处理、 分割 ， 从而提取枸杞的色泽、 大小及形状等特征 参数； 用 K-means 算法对特征进行聚类， 得到枸杞相应等级的基准； 根据聚类分析得到的基准采用最小距离分类器对枸杞 进行分级。 实验结果表明 ， 该方法能够准确快速地对不同色泽和大小的枸杞进行分类。-Traditional wolfberry sorting
Accelerating-Depth-Image-Based-Rendering-using-GP
- In this paper, we propose a practical method for hardware- accelerated rendering of the depth image-based representation (DIBR) object, which is defined in MPEG-4 Animation Framework eXtension (AFX). The proposed method overcomes the drawbacks
Making a “Completely Blind” Image
- An important aim of research on the blind image quality assessment (IQA) problem is to devise perceptual models that can predict the quality of distorted images with as little prior knowledge of the images or their distortions as possible. Curren