Image Processing Techniques for Denoising, Object Identification and Feature Extraction

Following Alesina and Rosenthal’s (1995) integrated approach to explain the American Political Economy, this paper adds to the existent literature by i) studying a phenomenon that

Acompanhando a forma como decorreu, nuÍna escola da cidade de Évorq no final do ano lectivo de 200512006, a segunda edição do Exame Nacional de Língua

Non-Linear Distance Transformation Algorithm and its Application in Medical Image Processing

The filters used for comparison are: median filter (MF) [3] applied for each color channel; directional weighted median filter (DWM) [15], applied for each color channel;

The discussed AWGN model may be complicated by a usage of mixed noise model. Because of the irregular character of noise dispersion in the mixed noise model,

Due to increase visual quality of image that reduces in contrast enhancement process, a fuzzy denoising method is proposed that eliminate noises in detail

We used singleton removal, quality control filtering, two different chi- mera detection methods and two denoising methods to test 18 different strategies implemented in mothur [ 42

According to actual image characteristic, noise statistical property and frequency spectrum distribution rule, people have developed many methods of eliminating