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Description: 边缘及轮廓细化的算法，本科时的作业-Edge Thinning and contour algorithm undergraduate work at the
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Size: 6025151 |
Author: 王俊 |
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Description: 摘 要 小波变换是时间频率的局部化分析，它可以通过伸缩平移运算对信号逐步进行多尺度细化。本文正是基于小波变换在图像处理领域中表现出的多尺度分析，提出了用小波变换检测活塞环图像边缘的方法，这种方法通过对二维小波变换图像局部极大值的检测得到图像的边缘信息。通过实验证明了这种方法的有效性。-Abstract wavelet transform is the local time frequency analysis, it can shift computing through telescopic right signal Multiscale gradually thinning. This paper is based on wavelet transform in the field of image processing performance of the multi-scale analysis of the wavelet transform piston ring Edge detection method, the method of wavelet transform two-dimensional images of the local extreme value to detect the edges in the image information. Experiments show that this method is effective.
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Size: 82944 |
Author: 蓝婧 |
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Description: rar压缩包
其中包含Alphat透明合成系统源代码源代码，JPEG压缩编码系统源代码，腐蚀-膨胀-细化算法源代码，图案抖动技术处理系统源代码，图象边沿检测-提取-轮廓跟踪算法源代码，图象几何变换算法源代码，图象模板匹配算法源代码，图象平滑处理系统源代码，图像雾化处理程序源代码，图形色彩量子化及材质压缩程序源代码，直方图修正-彩色变换算法源代码-rar compressed packets containing Alphat transparent Synthesis System source code source code, JPEG compression coding system source code, corrosion-expansion-thinning algorithm source code, design jitter technology processing system source code, image edge detection-extraction-contour tracking algorithm source code, image geometry change for algorithm source code, image template matching algorithm source code, image smoothing processing system source code, image processing atomization source code, graphics and color quantum of material compressed source code, as amended histogram-color transformation algorithm source code
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Size: 549888 |
Author: 也风 |
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Description: 用c语言写的三种常用的图像处理算法，包括边沿检测与提取，模板匹配和图象腐蚀膨胀细化-language used to write the three commonly used image processing algorithms, including edge detection and extraction. template matching and image thinning corrosion expansion
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Size: 72704 |
Author: 刘威 |
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Description: alpha_2.09.zip
Alphat透明合成系统源代码源代码
jpeg_0.77.zip
JPEG压缩编码系统源代码
calir_1.0.zip
腐蚀-膨胀-细化算法源代码
mkou_1.0.zip
图案抖动技术处理系统源代码
touch_1.01.zip
图象边沿检测-提取-轮廓跟踪算法源代码
xchange_1.03.zip
图象几何变换算法源代码
sima_1.07.zip
图象模板匹配算法源代码
mghe_0.23.zip
图象平滑处理系统源代码
fog_0.75.zip
图像雾化处理程序源代码
wgttut_5.0.zip
图形色彩量子化及材质压缩程序源代码
cologu_0.85.zip
直方图修正-彩色变换算法源代码-alpha_2.09.zip Alphat transparent Synthesis System source code source code jpeg _0.77.zip JPEG compression coding system source code calir_1.0.zip corrosion-expansion- thinning algorithm source code mkou_1.0.zip pattern jitter technology processing systems source code touch_1 .01. zip Image Edge Detection- extraction-contour tracking algorithm source code xchange_1.03.z ip image geometry algorithm source code sima_1.07.zip image template matching algorithm source code MGH e_0.23.zip smooth image processing system source code fog_0.75.zip image-atomizing source code sequence wgttut_5.0.zip graphics color quantization and material compression source code colog u_0.85.zip that histogram-color transformation algorithm source code
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Size: 580608 |
Author: yanglin |
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Description: 边缘及轮廓细化的算法，本科时的作业-Edge Thinning and contour algorithm undergraduate work at the
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Size: 6025216 |
Author: 王俊 |
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Description: 一些常用的图象处理算法,列表如下
alpha_2.09.zip
Alphat透明合成系统源代码源代码
jpeg_0.77.zip
JPEG压缩编码系统源代码
calir_1.0.zip
腐蚀-膨胀-细化算法源代码
mkou_1.0.zip
图案抖动技术处理系统源代码
touch_1.01.zip
图象边沿检测-提取-轮廓跟踪算法源代码
xchange_1.03.zip
图象几何变换算法源代码
sima_1.07.zip
图象模板匹配算法源代码
mghe_0.23.zip
图象平滑处理系统源代码
fog_0.75.zip
图像雾化处理程序源代码
wgttut_5.0.zip
图形色彩量子化及材质压缩程序源代码
cologu_0.85.zip
直方图修正-彩色变换算法源代码
-some frequently used image processing algorithm, the following table alpha_2.09.zip Alphat transparent Synthesis System source code source code jpeg _0.77.zip JPEG compression coding system source code calir_1.0.zip corrosion-expansion- thinning algorithm source code mkou_1.0.zip pattern jitter technology processing systems source code touch_1 .01. zip Image Edge Detection- extraction-contour tracking algorithm source code xchange_1.03.z ip image geometry algorithm source code sima_1.07.zip image template matching algorithm source code MGH e_0.23.zip smooth image processing system source code fog_0.75.zip image-atomizing source code sequence wgttut_5.0.zip graphics color quantization and material compression source code colog u_0.85.zip that histogram-color transformation algorithm sourc
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Size: 551936 |
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Description: 数字图像处理典型算法实现，共12章。01vc数字图像编程基础知识，02数字图像的采集、量化和表示，03数字图像的点运算；04图像几何变换，05频域处理方法；06图像增强技术；07图像腐蚀膨胀和细化算法；08边缘检测与提取及轮廓跟踪；09图像分割；10图像配准；11图像复原；12图像压缩-typical digital image processing algorithm, a total of 12 chapters. 01vc Digital Image basic knowledge of programming, 02 digital image acquisition, quantitative and said, 03 Digital Image Point Operators; 04 images geometric transformation, 05 frequency-domain approach; 06 Image Enhancement Technology; 07 images corrosion swelling and thinning algorithm; 08 edge detection and extraction and contour tracking; 09 image segmentation; 10 image registration; 11 image restoration; 12 Image Compression
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Size: 2010112 |
Author: wanglynn |
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Description: 30个图像处理的VC++ 源代码，包括256色转灰度图,Hough变换,image_j1,PCA,Walsh变换,对比度拉伸,二值化变换,反色,
方块编码,傅立叶变换,高斯平滑,灰度均衡,均值滤波,拉普拉斯锐化（边缘检测）,
离散余弦变换,亮度增减,逆滤波处理,取对数,取指数,梯度锐化,图象处理,图像镜像,
图像平移,图像缩放,图像细化,图像旋转,维纳滤波处理,用Canny算子提取边缘,阈值变换,直方图均衡.-30 image processing VC++ Source code, including 256 colors to grayscale, Hough transform, image_j1, PCA, Walsh transform, contrast stretching, binarization transformation, anti-color, box encoding, Fourier Transform , Gaussian smoothing, gray balance, mean filter, Laplacian sharpening (edge detection), discrete cosine transform, the brightness increases and decreases in inverse filtering deal, check on the number of check index, the gradient sharpening, image processing, mirror image, image translation, image scaling, image thinning, image rotation, Wiener filtering treatment using Canny edge extraction operator, threshold transform, histogram equalization.
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Size: 11644928 |
Author: sunjunling |
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Description: 图像处理边缘细化算法，c++程序实现
算法简单易懂-Image processing edge thinning algorithm, c++ Realize algorithm is simple and straightforward procedure
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Size: 3072 |
Author: 汪和谐 |
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Description: 图像处理工具:腐蚀/膨胀/开/闭/边缘提取/细化,图像变换,平滑/锐化,边缘增强/检测,反转-Image processing tools: Corrosion/expansion/open/closed/edge detection/thinning, image transform, smoothing/sharpening, edge enhancement/detection, inversion
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Size: 135168 |
Author: 蝴蝶 |
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Description: 数字图像处理源代码，包括阈值变换，边缘提取，滤波，细化等功能-Digital image processing source code, including the threshold transform, edge detection, filtering, thinning and other functions
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Size: 1697792 |
Author: lizhongwei |
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Description: 边缘检测，细化，恢复，对比度增强
图象分割
等图象处理程序-Edge detection, thinning, rehabilitation, image segmentation, such as contrast enhancement image processing procedures
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Size: 326656 |
Author: 严妙奇 |
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Description: matlab环境下图像测量课程实验程序，Smoothed算子实现图像边缘检测，空间邻域平均法，图像二值化与细化，图像增强（锐化），中值滤波等实验程序。-matlab image measurement courses under experimental procedures, Smoothed operator realization of image edge detection, space-neighbor average method, image binarization and thinning, image enhancement (sharpening), median filter, such as experimental procedures.
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Size: 240640 |
Author: tianshimao |
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Description: 图像细化的方法有两种即边缘点删除和内点保留传统的基于边缘点删除的细化算法在细化过程中只对边缘点的可删除性进行判断并作相应处理由于受跟踪顺序及所考察邻域的影响容易产生骨架的非对称性基于内点保留的细化算法容易使所获得的骨架大于一个像素本文在分析上述两类细化算法的基础上综合运用上述两种细化方法提出一种新的行之有效的并行细化算法.-Image Thinning There are two ways to delete that edge points and inner points to retain the traditional delete edge points based on the thinning algorithm in the refinement process only to the edge points can be carried out to determine and delete accordingly deal with the order because of tracking and examined the impact of neighborhood prone to asymmetric skeleton reservation-based interior-point thinning algorithm easily get more than a skeleton pixels Based on the analysis of these two types of thinning algorithm based on the comprehensive use of the two refinement method presents a new parallel thinning algorithm effective.
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Size: 252928 |
Author: poon |
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Description: 本程序能够综合地实现图像边缘细化，而且程序够复杂。-This procedure can be integrated to achieve the Image Edge thinning, and the procedures complex enough.
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Size: 4096 |
Author: raochen0303 |
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Description: 山 东 大 学 硕 士 学 位 论 文：图像边缘检测算法的研究本 文 分 为 七 个 部 分 。第一部分首先阐述了课题的研究背景、意义以
及该领域的发展现状；第二部分介绍了几种经典的边缘检测方法，给出
了这些方法的图像边缘检测结果，并且进行了相关的分析比较；第三部
分阐述了BP 神经网络的结构以及数学模型等相关知识；第四部分具体
介绍了一种新的基于统计向量和BP 神经网络的边缘检测方法；第五部
分介绍了一种有效的边缘细化算法，它可以对新方法得到的图像边缘进
一步处理以达到边缘的准确定位；第六部分给出了新方法的实验结果并
且进行了相关分析。最后，本文在第七部分提出了研究展望以及后续研
究的主要内容。
-The paper is organized as following seven parts. Firstly, Section 1
gives an introduction of the background, significance and development of
the field of edge detection. And Section 2 introduces several classic edge
detectors and gives edge detection results of these methods and offers
some relative analysis and comparison. Then Section 3 offers specific
knowledge about the architecture and mathematical model of the BP
neural network. The specific algorithm and architecture of the proposed
new edge detector based on the statistical vector and the BP neural
network are introduced in Section 4. And an effective algorithm of edge
thinning which is helpful for accurate edge localization is offered in
Section 5. Experimental results and analysis of the performance of the
new edge detector are presented in Section 6. At last, the paper ends with
some further research plans mentioned in Section 7.
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Size: 173056 |
Author: swx |
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Description: 主要用于图像处理过程中,对图像的细化和边缘检测.-Mainly used in image processing for image edge detection and thinning
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Size: 31744 |
Author: canlan |
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Description: Gray Level Edge Thinning Method
Abstract. An effective edge thinning algorithm is important in image segmentation and object identification since it increases the possibility of success in detecting objects in the image and saves the processing time in the further steps such as labeling and image transformation. We investigate some gray level edge thinning method that is based on the gradient magnitude within 3x3 local neighborhood. The new method has been tested with various types of images the real world. Experimental results show that this method produces more accurate images than those of the popular non-maximum suppression methods do.
-Gray Level Edge Thinning Method
Abstract. An effective edge thinning algorithm is important in image segmentation and object identification since it increases the possibility of success in detecting objects in the image and saves the processing time in the further steps such as labeling and image transformation. We investigate some gray level edge thinning method that is based on the gradient magnitude within 3x3 local neighborhood. The new method has been tested with various types of images the real world. Experimental results show that this method produces more accurate images than those of the popular non-maximum suppression methods do.
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Size: 120832 |
Author: mohammed |
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Description: This project is about detecting edges using canny edge detector. The canny edge detector is implemented from scratch using c++. Steps involved in creating a canny edge detector: STEP 1: smoothen the image using gaussian blur. STEP 2: Use differential operator to find the magnitude and direction of every edge pixel. STEP 3: Non maximal supression or Thinning is done. Here the thick edges are supressed into thinner ones. STEP 4: Hysteresis Thresholding: Two thresholds are selected. pixels lower than the lowT will become zero. pixels higher than the HighT will become one. The candidate pixels will become one if they can be linked to any one of the strong pixel.
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Size: 5120 |
Author: 穿山甲说
|
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