Contour-Based Corner Detection and Classification by Using Mean Projection Transform

Contour-Based Corner Detection and Classification by Using Mean Projection Transform

Image corner detection is a fundamental task in computer vision. Many applications require reliable detectors to accurately detect corner points, commonly achieved by using image contour information. The curvature definition is sensitive to local variation and edge aliasing, and available smoothing methods are not sufficient to address these problems properly. Hence, we propose Mean Projection ...

Corner Detection of Contour Images Using Continuous Wavelet Transform

This paper presents a multiscale corner detection method based on continuous wavelet transform (CWT) of contour images. The corner points are detected from the local wavelet transform modulus maxima (WTMM) of the contour orientation. To reduce the side effects of the discretization and smoothing that are introduced by the preprocessing steps, we adopt a simple but efficient post processing algo...

Multiscale contour corner detection based on local natural scale and wavelet transform

A new corner detection method for contour images is proposed based on dyadic wavelet transform (WT) at local natural scales. The points corresponding to wavelet transform modulus maxima (WTMM) at different scales are taken as corner candidates. For each candidate, the scale at which the maximum value of the normalized WTMM exists is defined as its ‘‘local natural scale’’, and the corresponding ...

Character Feature Extraction Using Polygonal Projection Sweep (Contour Detection)

It is presented in this paper a new approach to the problem of feature extraction. The approach is based on the edge detection, where a set of feature vectors is taken from the source image. The images under this investigation are considered to be manuscript characters and the features are obtained by the distance from the contour of each character to several observation points placed around th...

Contour Tracking and Corner Detection in a Logic Programming Environment