Edge Potential Functions (EPF) and Genetic Algorithms (GA) for Edge-Based Matching of Visual Objects

Edge potential functions and genetic algorithms for shape-based image retrieval

In this paper, a new approach to the image retrieval problem i s presented, that uses Edge Potential Functions (EPF) and genetic algorithms (GA). The method allows a user to draw a rough sketch o f the shape and to find or rank the images in a database that contain a similar shape at any position, rotation and scaling factor. It wil l be explained how GAS allow to exploit the capability o f EPF...

Sufficient conditions for maximally edge-connected and super-edge-connected

Let $G$ be a connected graph with minimum degree $delta$ and edge-connectivity $lambda$. A graph ismaximally edge-connected if $lambda=delta$, and it is super-edge-connected if every minimum edge-cut istrivial; that is, if every minimum edge-cut consists of edges incident with a vertex of minimum degree.In this paper, we show that a connected graph or a connected triangle-free graph is maximall...

Continuous Edge Gradient-based Template Matching for Articulated Objects

In this paper, we propose a novel edge gradient based template matching method for object detection. In contrast to other methods, ours does not perform any binarization or discretization during the online matching. This is facilitated by a new continuous edge gradient similarity measure. Its main components are a novel edge gradient operator, which is applied to query and template images, and ...

On the edge and total GA indices of some graphs

Efficient Shape Matching Using Weighted Edge Potential Functions

An efficient approach to shape matching in digital images is presented. The method, called Weighted Edge Potential Function, is a significant improvement of the EPF similarity measure, which models the image edges as charged elements in order to generate a field of attraction over similarly shaped objects. Experimental results and comparisons demonstrate that WEPF enhances the properties of EPF...