Mathematical morphology and its applications to image and signal processing

• Main Authors: Goutsias, John, Vincent, Luc, Bloomberg, Dan S
• Format: eBook Book
• Language: English
• Published: Boston, MA Kluwer Academic 2000; Springer; Springer US
• Edition: 1
• Series: Computational Imaging and Vision
• Subjects: Computer engineering; Computer Graphics; Computer Imaging, Vision, Pattern Recognition and Graphics; Computer Science; Computer vision; Congresses; Digital filters (Mathematics) > Congresses; Electrical Engineering; Image processing > Mathematics > Congresses; Image Processing and Computer Vision; Mathematics; Optics, Lasers, Photonics, Optical Devices; Physics; Signal processing; Signal processing > Mathematics > Congresses; Signal, Image and Speech Processing
• ISBN: 0792378628; 9780792378624; 9781475773545; 1475773552; 1475773544; 9781475773552
• ISSN: 1381-6446
• DOI: 10.1007/b117970

Mathematical morphology is a powerful methodology for the processing and analysis of geometric structure in signals and images. This book contains the proceedings of the 5th International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing, held June 26-28, 2000, at Xerox PARC, Palo Alto, California. It provides a broad sampling of theoretical and practical developments of mathematical morphology and its applications to image and signal processing. Areas covered include: decomposition of structuring functions and morphological operators, morphological discretization, filtering, connectivity and connected operators, morphological shape analysis and interpolation, texture analysis, morphological segmentation, morphological multiresolution techniques and scale-spaces, and morphological algorithms and applications.