A comparative analysis of the efficiency of the stochastic gradient approach to the identification of objects in binary images
Radik G. Magdeev, А. Г. Ташлинский · Pattern Recognition and Image Analysis · 2014
A comparative analysis of the computational complexity and probability of false recognition for object identification methods in images, which are based on a comparison with a pattern, viz., correlation-extreme method, contour analysis method, and stochastic gradient identification algorithm. Possibilities of parametric optimization of the studied methods are considered.