Detection and Estimation of Brightness Difference Parameters in Object Boundary Analysis

摘要

Statistically optimal and neural network algorithms of joint detection and estimation of brightness difference parameters in a local observation window are synthesized for the purpose of solving the problem of object boundary extraction in digital images in the presence of noise. Comparative results on the performance of these algorithms are given.