Advances and applications of optimised algorithms in image processing

摘要

Image processing is concerned with enhancing, drawing features from, and understanding real-world data represented as a matrix of spatially organized values. Optimization problems are those concerned with maximizing (or minimizing) some objective function by varying one or more parameters, often under a set of constraints. This book examines the application of optimization to common problems in image processing: segmentation, template matching, and shape detection.