OpenCV 3 Computer Vision Application Programming Cookbook - Third Edition

【实例简介】
OpenCV必读书目第三版，高清原版。
Table of contents Opencv 3 computer vision Application Programming Cookbook Third edition Credits About the author about the reviewer www.Packtpub.com Why subscribe Customer Feedback Preface What this book covers What you need for this book Who this book is for Sections Getting read How to do it How it works There's more See also Conventions Reader feedback Customer support Downloading the example cod Downloading the color images of this book Errata Piracy Questions 1. Playing with Images Introduction Installing the OpenCv library Getting read How to do it How it works There's more The visua lization toolkit and the cv viz module The opencv developer site See also Loading. displaying, and saving images Getting ready How to do it How it works heres more cKIng on ima ges awing on images See also Exploring the cv: Mat data structure How to do it How it works Theres more The input and output arrays Manipulating small matrices See also Defining regions of interest Getting ready How to do it How it works There's more Using image masks See also 2. Manipulating Pixels Introduction Accessing pixel values Getting ready How to do it How it works Theres more The cv: Mat template class Se ee also Scanning an image with pointers Getting ready How to do it How it works There's more Other color reduction formulas Having input and output arguments Efficient scanning of continuous images Low-level pointer arithmetic See also Scanning an image with iterators Getting ready How to do it How it works There's more See also Writing efficient image-scanning loops How to do it How it works There's more See also Scanning an image with neighbor access Getting ready How to do it H ow It worKs There's more See also Performing simple image arithmetic Getting ready How to do it How it works There's more Overloaded image operators Splitting the image channels Remapping an image How to do it How it works See also 3. Processing the Colors of an Image Introduction Comparing colors using the Strategy design pattern How to do it How it works There's more Computing the distance between two color vectors Jsing Opencv functions The floodfill function Functor or function object The Opencv base class for algorithms See also Segmenting an image with the grabCut algorithm How to do it How it works See also Converting color representations How to do it How it works See also Representing colors with hue, saturation and brightness How to do it How it works There's more Using colors for detection -skin tone detection See also 4. Counting the Pixels with Histograms Introduction Computing an image histogram Getting read How to do it How it works There's more Computing histograms of color images ee aIso Applying look-up tables to modify the images appearance How to do it How it works There's more Stretching a histogram to improve the image contrast Applying a look-up table to color images see aso Equalizing the image histogram How to do it How it works Backprojecting a histogram to detect specific image content How to do it How it works There's more Backprojecting color histograms See also Using the mean shift algorithm to find an object How to do it How it works See also Retrieving similar images using thc histogram comparison How to do it How it works ee aso Counting pixels with integral images How to do it How it works There's more Adaptive thresholding Visual tracking using histograms See also 5. Transforming Images with Morphological Operations Introduction Eroding and dilating images using morphological filters Getting ready How to do it How it works There's more see also Opening and closing images using morphological filters How to do it How it works see aso Applying morphological operators on gray-level images How to do it How it works灬 ee also Segmenting images using watersheds How to do it How it works heres more See also Extracting distinctive regions using MSER How to do it How it works See also 6. Filtering the Images Introduction Filtering images using low-pass filters How to do it. How it works. See also Downsampling images with filters How to do it How it works There's more Interpolating pixel values See also Filtering images using a median filter How to do it How it works pplying directional filters to detect edges How to do it How it works There's more Gradient operators Gaussian derivatives Se see also Computing the Laplacian of an image How to do it How it works There's more Enhancing the contrast of an image using the Laplacian Difference of gaussians See also 7. Extracting Lines. Contours, and Components ntroduction Detecting image contours with the Canny operator How to do it How it works See also Detecting lines in images with the Hough transform Getting ready How to do it How it works There's more Detecting circles See also Fitting a line to a set of points How to do it How it works There's more Extracting connected components How to do it How it works There's more Computing components' shape descriptors How to do it How it works There's more Quadrilateral detection 8. Detecting Interest Points Introduction Detecting corners in an image How to do it How it works heres more Good features to track ee als SO Detecting features quickly How to do it How it works heres more See also Detecting scale-invariant features How to do it. How it works There' s more灬 The SIFT fcaturc-dctection algorithm See also Detecting FAst features at multiple scales H d Wto a0 How it works. There's more The orb feature-detection algorithm See also 9. Describing and matching Interest points Introduction Matching local templates How to do it How it works There's more Template matching ee aIso 【实例截图】
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