This paper addresses the problem of text extraction from name card images with fanciful design containing complicated color background and reverse contrast regions. The proposed m...
— Edge detection is a computer vision algorithm that is very processor intensive. It is possible to increase the speed of the algorithm by using hardware parallelism. This paper ...
—In real world machine vision problems, numerous issues such as variable scene illumination make edge and object detection difficult. There exists no universal edge detection met...
This paper introduces a robust approach to the problem of edge detection in situations characterized by high levels of image degradation and illumination non-uniformity. Popular e...
Although edge detection is a well investigated topic, 3D edge detectors mostly lack either accuracy or speed. We will show, how to build a highly accurate subvoxel edge detector, w...
—Soft Computing is an emerging field that consists of complementary elements of fuzzy logic, neural computing and evolutionary computation. Soft computing techniques have found w...
Guiding image segmentation with edge information is an often employed strategy in low level computer vision. To improve the trade-off between the sensitivity of homogeneous region...
Christopher M. Christoudias, Bogdan Georgescu, Pet...
Text detection is fundamental to video information retrieval and indexing. Existing methods cannot handle well those texts with different contrast or embedded in a complex backgro...
It is now widely acknowledged that wavelets are not very effective in representing images containing distributed discontinuities such as edges. This paper deals with a new multisc...
Sheng Yi, Demetrio Labate, Glenn R. Easley, Hamid ...
Edge detection depends not only upon the assumed model of what an edge is, but also on how this model is represented. The problem of how to represent the edge model is typically ne...