Multispectral image edge detection via Clifford gradient

Clifford Pattern Matching for Color Image Edge Detection

Feature detection and pattern matching play an important role in visualization. Originally developed for images and scalar fields, pattern matching methods become increasingly interesting for other applications, e.g., vector fields. To apply pattern matching to vector fields the basic concepts of convolution and fast Fourier transform (FFT) have to be generalized to vector fields. A formalism s...

Edge Detection in Multispectral Imagery via Maximum Entropy

* Corresponding author Abstract In this paper, a modern spectral analysis method, based on the maximum entropy, for edge detection in multispectral imagery is presented. This technique is shown to be simple and easy to implement. Due to its distinct features, the maximum entropy is proven advantageous when compared to other conventional multidimensional edge detection methods. This method does ...

Edge detection in multispectral images

Edge Detection in Multispectral Images

This paper proposes an extension of edge detectors based on second-order differential operators to the case of multiple band (color) images. To this end, we deline a local directional measure of multispectral contrast. A definition of edge point is then given, as the location of a directional maximum of the contrast function. Extremal contrast edges are defined, as loci of zero crossing points ...

A Gravitational Edge Detection for Multispectral Images

Gravitational edge detection is one of the new edge detection algorithms that is based on the law of gravity. This algorithm assumes that each image pixel is a celestial body with a mass represented by its grayscale intensity and their interactions are based on the Newtonian laws of gravity. In this article, a multispectral version of the algorithm is introduced. The method uses gravitational t...