book

Practical OpenCV

by Samarth Brahmbhatt

November 2013

Beginner to intermediate

244 pages

5h 39m

English

Apress

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Why Was This Book Written?OpenCVSummary
Operating SystemsSummary

CamshiftStereo MatchingHomography Estimation in VideoCircle and Line DetectionImage SegmentationBounding Box and CircleImage InpaintingSummary
Displaying Images from Disk in a WindowThe cv::Mat StructureConverting Between Color-spacesGUI Track-Bars and Callback FunctionsROIs: Cropping a Rectangular Portion out of an ImageAccessing Individual Pixels of an ImageVideosSummary
Image FiltersObject Detector AppMorphological Opening and Closing of Images to Remove NoiseSummary
ContoursHough TransformGeneralized Hough TransformRANdom Sample Consensus (RANSAC)Bounding Boxes and CirclesConvex HullsSummary
Image SegmentationHistogramsSummary
Keypoints and Keypoint Descriptors: Introduction and TerminologySIFT Keypoints and DescriptorsSURF Keypoints and DescriptorsORB (Oriented FAST and Rotated BRIEF)Basic Machine LearningObject CategorizationSummary
Affine TransformsPerspective TransformsPanoramasSummary
Single Camera CalibrationStereo VisionSummary
Raspberry PiSetting Up Your New Raspberry PiCamera boardUsage ExamplesSummary

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Acknowledgments

The author would like to acknowledge the excellent job done by Tom Welsh, Jill Balzano, and Michelle Lowman at Apress in editing and managing the workflow of this book. He would also like to acknowledge the beautiful design work by Rakshit Kothari for the cover and the excellent technical reviewing by Steven Hickson.