A new image segmentation method is proposed to combine the edge information with the feature-space method, K-Means clustering. A procedure called seam processing, which is computa...
Tse-Wei Chen, Hsiao-Hang Su, Yi-Ling Chen, Shao-Yi...
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
In this paper a simple but effective approach for parallelization of cellular neural networks for image processing is developed. Digital gray-scale images were used to evaluate th...
Abstract. Image processing is widely used in many applications, including medical imaging, industrial manufacturing and security systems. In these applications, the size of the ima...
Thanks to a specific formalism for signal generation, it is possible to transpose an image processing problem to an array processing problem. For straight line characterization, t...