In this paper, we propose a novel shape description method for mobile retrieval of leaf
images. In this method, termed multiscale arch height (MARCH), hierarchical arch height …

Shape information plays an important role in the human visual system, and how to represent
the shape accurately is a very challenging issue in shape recognition. In recent years, many …

Shape is one of the most important discriminative elements for the content based image
retrieval and the most challenging for quantification and description. Fourier descriptors are …

In this paper we derive an explicit formula which uses the first two Hu moment invariants to
compute a shape ellipticity measure, ie to evaluate how much a planar shape differs from an …

In this paper we further develop the recent concept of multi-component shapes, which is
applicable to image processing and image analysis tasks. The domain of multi-component …

Shape signature and Fourier descriptor are common techniques for shape description and
they are widely used in pattern recognition and computer vision applications. In this paper, a …

A new set of Gegenbauer moment invariants is proposed for pattern recognition
applications. These moment invariants are expressed as a linear combination of geometric …

Here, we intend to introduce a fast and non-rigid global registration for simple planar closed
curves relatively to the planar Special Affine group SA (2, R). In previous work, Ghorbel …

Shape, color and texture are the most important discriminative elements for content based
image retrieval. Fourier descriptors are widely used in shape based image retrieval …

This paper introduces a new family of fuzzy shape measures, called fuzzy circularity, to
evaluate the degree to which a considered fuzzy shape matches a fuzzy disk. A new family …