You're reading from OpenCV 4 Computer Vision Application Programming Cookbook - Fourth Edition

Product typeBook

Published inMay 2019

Reading LevelIntermediate

PublisherPackt

ISBN-139781789340723

Edition4th Edition

Languages

Java

Tools

OpenCV

Concepts

Computer Vision

Authors (2):

David Millán Escrivá

Robert Laganiere

View More author details

Segmenting images using watersheds

The watershed transformation is a popular image-processing algorithm that is used to segment an image into homogenous regions quickly. It relies on the idea that when the image is seen as a topological relief, the homogeneous regions correspond to relatively flat basins, delimited by steep edges. As a result of its simplicity, the original version of this algorithm tends to over-segment the image, which produces multiple small regions. This is why OpenCV proposes a variant of this algorithm that uses a set of predefined markers that guide the definition of the image segments.

How to do it...

The watershed segmentation is obtained through the use of the cv::watershed function. The input for...

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OpenCV 4 Computer Vision Application Programming Cookbook - Fourth Edition

Published in: May 2019Publisher: PacktISBN-13: 9781789340723

Authors (2)

David Millán Escrivá

David Millán Escrivá was 8 years old when he wrote his first program on an 8086 PC in Basic, which enabled the 2D plotting of basic equations. In 2005, he finished his studies in IT with honors, through the Universitat Politécnica de Valencia, in human-computer interaction supported by computer vision with OpenCV (v0.96). He has worked with Blender, an open source, 3D software project, and on its first commercial movie, Plumiferos, as a computer graphics software developer. David has more than 10 years' experience in IT, with experience in computer vision, computer graphics, pattern recognition, and machine learning, working on different projects, and at different start-ups, and companies. He currently works as a researcher in computer vision.
Read more about David Millán Escrivá

Robert Laganiere

Robert Laganiere is a professor at the School of Electrical Engineering and Computer Science of the University of Ottawa, Canada. He is also a faculty member of the VIVA research lab and is the co-author of several scientific publications and patents in content based video analysis, visual surveillance, driver-assistance, object detection, and tracking. Robert authored the OpenCV2 Computer Vision Application Programming Cookbook in 2011 and co-authored Object Oriented Software Development published by McGraw Hill in 2001. He co-founded Visual Cortek in 2006, an Ottawa-based video analytics start-up that was later acquired by iwatchlife.com in 2009. He is also a consultant in computer vision and has assumed the role of Chief Scientist in a number of start-up companies such as Cognivue Corp, iWatchlife, and Tempo Analytics. Robert has a Bachelor of Electrical Engineering degree from Ecole Polytechnique in Montreal (1987) and MSc and PhD degrees from INRS-Telecommunications, Montreal (1996). You can visit the author's website at laganiere.name.
Read more about Robert Laganiere

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