… Despite both fuzzy approaches show a … robust algorithm to extract significant gray level
corner points. The method is derived from a fuzzy-rule approach which aims to detect corners …

… Thus, the challenge is to design a faster and more robust detector in terms of accuracy and
… detector that combines the power of neural networks to detect robust feature points and fuzzy …

… image properties in fuzzy frame work for reliable decision making. The robustness of the
proposed … A fuzzy set theoretic approach for detection of corners is proposed in this paper. The …

… a corner detector. Our overall design goal is to develop a real-time corner detector which can
be … data set is small, and that the proposed detector is robust to noise. Since the proposed …

… Despite both fuzzy approaches show a … robust algorithm to extract significant gray level
corner points. The method is derived from a fuzzy-rule approach which aims to detect corners …

The problem of corner detection on planar curves is examined based on human … set of fuzzy
patterns of contour points are established. Then, corner detection is characterized as a fuzzy …

… Although less than 37 pixels of SUSAN detector, it is … corner detector to further decrease
the computational cost while maintaining the quality of corner detection even in noisy and fuzzy …

… Under this circumstances, corners could be modelled by means of linguistic rules. This
chapter presents a corner detection algorithm which employs fuzzy reasoning. The robustness of …

… detection, we believe our corner detector performs better than existing ones. Much work has
been carried out on corner detection … and Bien [159] applied fuzzy logic to corner detection. …

… corner detectors using two newly defined criteria. The majority of authors of published corner
detectors … of our work, but experiments showed that the resulting corners were not robust. …