The brand new edition of IMAGE PROCESSING, ANALYSIS, AND MACHINE VISION is a robust text providing deep and wide coverage of the full range of topics encountered in the field of image processing and machine vision. As a result, it can serve undergraduates, graduates, researchers, and professionals looking for a readable reference. The bookas encyclopedic coverage of topics is wide, and it can be used in more than one course (both image processing and machine vision classes). In addition, while advanced mathematics is not needed to understand basic concepts (making this a good choice for undergraduates), rigorous mathematical coverage is included for more advanced readers. It is also distinguished by its easy-to-understand algorithm descriptions of difficult concepts, and a wealth of carefully selected problems and examples. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.P6.13 Using template matching, detect all locations of a specific image template on a set of images. ... P6.14 Implement the following approaches to region growing and apply to your test images (Problem P6.1). ... Region merging via boundary melting (e) Split and link to the segmentation tree (f) Single pass split- and-merge P6.15 Select some of the segmentations you have ... offers images used in the problems, and well-commented Matlab code is provided for educational purposes.
|Title||:||Image Processing, Analysis, and Machine Vision|
|Author||:||Milan Sonka, Vaclav Hlavac, Roger Boyle|
|Publisher||:||Cengage Learning - 2014-01-01|