Morphological Filtering of UV Images in Smart Grid

Adaptive fuzzy morphological filtering of images

In this paper we introduce a neural network implementation of fuzzy mathematical morphology operators and apply it to image denoising. Using a supervised training method and differentiable equivalent representations for the fuzzy morphological operators, we derive efficient adaptation algorithms to optimize the structuring elements. We can then design fuzzy morphological filters for processing ...

Optimal filtering of solar images using soft morphological processing techniques

Context. CCD images obtained by space-based astronomy and solar physics are frequently spoiled by galactic and solar cosmic rays, and particles in the Earth’s radiation belt, which produces an overlaid, often saturated, speckle. Aims. We describe the development and application of a new image-processing technique for the removal of this noise source, and apply it to SOHO/LASCO coronagraph image...

Impulsive Noise Removal from Color Images with Morphological Filtering

This paper deals with impulse noise removal from color images. The proposed noise removal algorithm employs a novel approach with morphological filtering for color image denoising; that is, detection of corrupted pixels and removal of the detected noise by means of morphological filtering. With the help of computer simulation we show that the proposed algorithm can effectively remove impulse no...

Morphological Filtering Algorithm for Restoring Images Contaminated by Impulse Noise

In this paper a methodology to restore gray scale images with pixels polluted by random impulsive noise is presented. Noise is discovered using a criterion based on the white top-hat by reconstruction. Pixels detected as corrupted are restored using an iterative morphological algorithm built with extensive and antiextensive morphological transformations. The proposal is compared with the rank o...

Smart Grid in Denmark