TY - CHAP A1 - R. R. Sharapov ED1 - Goro Obinata ED2 - Ashish Dutta Y1 - 2007-06-01 PY - 2007 T1 - Genetic Algorithms: Basic Ideas, Variants and Analysis N2 - Research in computer vision has exponentially increased in the last two decades due to the availability of cheap cameras and fast processors. This increase has also been accompanied by a blurring of the boundaries between the different applications of vision, making it truly interdisciplinary. In this book we have attempted to put together state-of-the-art research and developments in segmentation and pattern recognition. The first nine chapters on segmentation deal with advanced algorithms and models, and various applications of segmentation in robot path planning, human face tracking, etc. The later chapters are devoted to pattern recognition and covers diverse topics ranging from biological image analysis, remote sensing, text recognition, advanced filter design for data analysis, etc. BT - Vision Systems SP - Ch. 21 UR - https://doi.org/10.5772/4971 DO - 10.5772/4971 SN - PB - IntechOpen CY - Rijeka Y2 - 2019-09-16 ER -