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[Develop Toolscls_factory

Description: 介绍了各种数字图像处理的算法分析及编程实现技术。全书由12章和一个附录组成。主要内容包括:位图基础、图像的显示、图像的几何变换、图像灰度变换、图像的平滑处理、图像锐化处理及边缘检测、图像分割及测量、图像的形态学处理、图像的变换域处理及应用、图像的合成、24位彩色图像的处理、JPEG图像的压缩编码。 -introduced a variety of digital image processing algorithm analysis and programming technology. Book by 12 chapters and an appendix composition. The main contents include : bitmap based, image display, image geometry transform, image gray transform, the image smoothing, sharper Image processing and edge detection, image segmentation and measurement, image morphology, Image Transform domain processing and application of image synthesis, 24-bit color image processing, JPEG image compression.
Platform: | Size: 23601 | Author: 流流 | Hits:

[Bookscls_factory

Description: 介绍了各种数字图像处理的算法分析及编程实现技术。全书由12章和一个附录组成。主要内容包括:位图基础、图像的显示、图像的几何变换、图像灰度变换、图像的平滑处理、图像锐化处理及边缘检测、图像分割及测量、图像的形态学处理、图像的变换域处理及应用、图像的合成、24位彩色图像的处理、JPEG图像的压缩编码。 -introduced a variety of digital image processing algorithm analysis and programming technology. Book by 12 chapters and an appendix composition. The main contents include : bitmap based, image display, image geometry transform, image gray transform, the image smoothing, sharper Image processing and edge detection, image segmentation and measurement, image morphology, Image Transform domain processing and application of image synthesis, 24-bit color image processing, JPEG image compression.
Platform: | Size: 23552 | Author: 流流 | Hits:

[Special EffectsDigitalFiltering_gui

Description: DigitalFiltering_gui applies methods of digital image analysis to images AND grids This includes a broad suite of smoothing (low-pass) filters, as well as contrast enhancement filters, edge enhancement filters, edge detection filters, general high-pass filters, etc.-DigitalFiltering_gui applies methods of digital image analysis to images AND grids This includes a broad suite of smoothing (low-pass) filters, as well as contrast enhancement filters, edge enhancement filters. edge detection filters. general high-pass filters, etc..
Platform: | Size: 17408 | Author: | Hits:

[Software EngineeringImageProcessing-CircleDetection-RenatoSalas_final

Description: The present report outlines the design, implementation and performance of the application of Hough Transform (HT) to detect circles in arbitrary pictures. Detecting circles in arbitrary pictures involves a two step process in this project. First, edges within the image have to be detected then, by means of a voting mechanism the most probable circles will be located. Edge detection goal is to look for boundary locations that naturally happen between objects. Objects normally have continuous intensity values therefore sudden changes in that pattern might indicate a boundary condition. Changes of intensity in one direction can be calculated by the gradient operator however, noise can alter meaningful edges. Convolution is then normally applied to account for a small amount of smoothing, thus reducing noise.-The present report outlines the design, implementation and performance of the application of Hough Transform (HT) to detect circles in arbitrary pictures. Detecting circles in arbitrary pictures involves a two step process in this project. First, edges within the image have to be detected then, by means of a voting mechanism the most probable circles will be located. Edge detection goal is to look for boundary locations that naturally happen between objects. Objects normally have continuous intensity values therefore sudden changes in that pattern might indicate a boundary condition. Changes of intensity in one direction can be calculated by the gradient operator however, noise can alter meaningful edges. Convolution is then normally applied to account for a small amount of smoothing, thus reducing noise.
Platform: | Size: 1107968 | Author: donna | Hits:

[Algorithmnonlinear_diffusion.I

Description: Image selective smoothing and edge detection by nonlinear diffusion. I.
Platform: | Size: 915456 | Author: vi | Hits:

[Algorithmnonlinear_diffusion.II

Description: Image selective smoothing and edge detection by nonlinear diffusion. -Image selective smoothing and edge detection by nonlinear diffusion. II
Platform: | Size: 2322432 | Author: vi | Hits:

[Special EffectsAn_Intrgrated_De-interlacing_Algorithm_Design

Description: 本篇論文提出的整合式解交錯(Integrated De-interlacing)的演算法,可以有效提昇移 動區域的畫面,但是當移動估計不正確時,反而會使移動補償後的畫面變得很差,為了 改善這種情況,因此結合移動可適性解交錯的優點,並將空間圖場內插(Spatial Interpolation)的方式改成ELA(Edge Line Average)來設計,經過電腦模擬的結果發現,不僅在視覺上提高畫面的解析度,在某些影像峰值訊號雜訊比(Peak Signal Noise Ratio , PSNR)也比線平均解交 錯(Line Average De-interlacing)多出好幾分貝的畫質增益。 此外,在整合式解交錯演算法中也增加影片偵測(Film Detection)和影像加強(Image Enhancement)的演算法設計,在這樣演算法的架構下,透過影片偵測的演算法,我們可 真實地還原3:2 Pull Down 的影片格式,而不會有鋸齒狀(Saw-Toothed)的畫面出現,而影 像加強的演算法,則可以在解交錯後,經過影像的調整,使輸出畫面呈現不同的效果, 達到消費者的需求。-The main theme of this thesis is an integrated de-interlacing system, which incorporates several known and improved techniques in a nice manner to produce good de-interlaced image quality. We first develop an accurate motion detector that classifies image regions into stationary, low-motion, and high-motion categories. The simple field merging method is applied to the stationary regions. The edge line average interpolation method is applied to the slow-motion regions. Finally, the motion-compensated interpolation is applied to the high-motion regions. In addition, hierarchical motion estimation and motion vector smoothing techniques are employed to enhance the quality of estimated motion vectors. Our computer simulation shows that the subjective image quality is improved by using the proposed scheme. Also, its PSNR measures are better than the conventional spatial or temporal interpolation schemes.
Platform: | Size: 1171456 | Author: robin | Hits:

[Special EffectsVC-P-P-image-processing-programming

Description: 本书介绍了各种数字图像处理的算法及编程实现技术。全书由13章和一个附录组成。主要内容包括:位图基础、图像的显示、图像的几何变换、图像灰度变换、图像的平滑处理、图像锐化处理及边缘检测、图像分割及测量、图像的形态处理学、图像的变换域处理及应用、图像的合成、24位彩色图像的处理、图像的小波变换和JPIG图像的压缩编码。 本书介绍了近90种图像处理的技术,这些技术与编程实例相结合,提供了VC++编程步骤,图像处理的编程代码,并且处理前的图像可与处理之后的图像对照比较。实例程序的框架结构简单,代码简洁,使初学VC++者很快就能编写图像处理的程序代码。 本书可作为高等院校计算机工程、信息工程、生物医学工程、智能机器人学、工业自动化、模式识别及相关学科的教师、研究生、本科生、专科生的教材或参考书,亦可供有关工程技术人员参考。-This book presents a variety of digital image processing algorithms and programming techniques. Book is composed of 13 chapters and an appendix. The main contents include: the bitmap based image display, image geometric transformation, image gray level transformation, image smoothing, image sharpening and edge detection, image segmentation and measurement, image processing morphological study, the image of the transform domain processing and applications, image synthesis, 24-bit color image processing, the wavelet transform and JPIG image compression. This book describes nearly 90 kinds of image processing technologies, and programming examples of these technologies combine to provide a VC++ programming steps, image processing, programming code, and handle pre-processed image with the image comparisons. Simple example program framework, the code simple, so beginners can quickly VC++ by writing image processing code. This book can serve as institutions of higher learning c
Platform: | Size: 25216000 | Author: 微筱柒 | Hits:

[Special EffectsAdaptive-Corner-Detection-

Description: 摘要文中算法首先在曲线尺度空间中通过高斯平滑以消除噪声;然后再基于自适应弯曲度计算和角点筛选准 则确定角点. 该算法不需要预先输入参数,具有较好的抗干扰性,实现简单有效. 关键词高斯平滑;尺度空间;自适应;角点检测-Abstract In image processing,corner point means the dominant point of maximum curvature aiong the bounding edge of pianar object. A method of detecting and iocaiizing corners of pianar curvature based on Gaussian scaie space is presented. An adaptive curvature estimate method measures the significance of each point on the boundary preprocessed by Gaussian smoothing;then a criterion is estabiished to choose the desired corner points. The method reguires no input parameter,and experiments were performed to show that the scaie space corner detector based on Gaussian smoothing is reiiabie for objects with muitipie-size features and noisy boundaries. Key words Gaussian smoothing;scaie space;adaptive;corner detection
Platform: | Size: 195584 | Author: 李齐贤 | Hits:

[Windows DevelopCVMFC

Description: C++ MFC OpenCV和MFC的实例,包括界面程序+各种图像处理操作,演示如何在MFC中使用OpenCV,由3部分组成。一、Windows 下用 MFC 编制的程序框架,采用设备无关位图DIB实现Windows多文档模式下图像的显示,实现显示的关键函数StretchDIBits的原型; 二、调用 OpenCV 函数实现处理   使用 OpenCV 函数处理图像在 MFC 环境下显示,实现功能为图像平滑、图像缩小与Canny 边缘检测。三、用 DirectShow 编制的视频采集程序   采用 DirectShow 实现视频采集,其优点是支持高分辨率图像采集,最高分辨率由所用的摄像头决定,如罗技130万像素USB摄像头C300最高分辨率可达1280*1024,在MPEG模式下采集速度为每秒15郑使用时CPU 的时间占用率在15~30 之间-C++ MFC OpenCV and MFC examples, including the interface program+ various image processing operations, demonstrates how to use OpenCV in the MFC, consists of three parts. First, the procedural framework under Windows with MFC prepared using the device-independent bitmap DIB achieve the Windows Multiple Document mode image display, to achieve critical function prototype StretchDIBits display Second, the call processing functions for OpenCV Image processing functions using OpenCV in the MFC environment shows that achieve functional as image smoothing, image reduction and Canny edge detection. Third, using DirectShow video capture program preparation Using DirectShow video capture, the advantage is to support high-resolution image capture, the maximum resolution is determined by the use of the camera, such as a 1.3 megapixel Logitech C300 USB camera resolution up to 1280* 1024, in the collection rate for each MPEG mode Zheng 15 seconds time when the CPU occupancy rate is between 15 t
Platform: | Size: 5444608 | Author: apudn58 | Hits:

[Special Effectstest9

Description: OpenCV 的圆形标记点的提取方法, 通过对图像进行平滑处理 、 边缘检测 、 轮 廓查找 、 几何约束以及椭圆拟合, 实现圆形标记点的提取。 有关圆形物体识别的场合。 -Extraction OpenCV circular markers by the image smoothing, edge detection, contour search, geometric constraints and ellipse fitting, to achieve extraction of circular mark points. Where relevant circular object recognition.
Platform: | Size: 14971904 | Author: fcf | Hits:

[Special EffectsCANNY

Description: 根据CNNAY算法的4个步骤 1. 用高斯滤波器平滑图像;(图像去噪) 2. 用一阶偏导有限差分计算梯度幅值和方向;(特征增强) 3. 对梯度幅值进行非极大值抑制 ;(边缘检测) 4. 用双阈值算法检测和连接边缘。(形态学处理) 编写的边缘检测程序,简单实用(There are four parts of Canny edge detection: 1. smoothing the image with Gauss filter; (image denoising) 2. calculate gradient amplitude and direction by first order partial derivative finite difference method (feature enhancement) 3. non maximum suppression of the gradient amplitude; (edge detection) 4. detect and connect edges with double threshold algorithm. (morphological treatment))
Platform: | Size: 1024 | Author: UJSLEMON | Hits:

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