DETECTION OF LOCAL NOISE IN THE TEXTURAL IMAGES
Journal Title: Journal of Science And Arts - Year 2008, Vol 8, Issue 1
Abstract
The paper presents a classification and identification method for the local noise in the textural images. To identify local noise in the textural images, a reference database with the textural images is used. For the region recognition with local noise, a decision theoretic method is used. The features are of the statistic type and derive from the medium co-occurrence matrices: contrast, energy, entropy, homogeneity, and variance. The algorithm is implemented in a mathematical software and allows the simultaneously display of both the investigated regions pairs, and the Euclidian distance between them. Our experimental results indicate that the five selected features for texture classification give good results to identify the local noise. The results also confirm that the distances between the similar regions are relatively small and the distances between regions from different textured images with local noise are relatively great.
Authors and Affiliations
NICOLETA ANGELESCU, IULIAN UDROIU, CRISTIAN FLUIERARU, CACIULA ION
Keywords
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