AN IMPROVED DETECTION ALGORITHM FOR LOCAL FEATURES IN GRAY-LEVEL IMAGES
Andrzej Stefan Sluzek · Kluwer Academic Publishers eBooks · 2006
Several algorithms of intensity-based feature detection have been recently proposed. The paper further investigates one of them. The algorithm employs locally computed moments to detect image features. First, the best-match template feature is built for the current location. Then, the template is compared to the content of the image to determine the actual presence of the feature. The paper reports an improvement in the second step. The template feature and the image are compared using radial profiles. It improves the performance (especially for noised and textured images) and simplifies the prospective hardware implementation of the algorithm.