A Multi-Scale Algorithm for Graffito Advertisement Detection from Images of Real Estate
AICI '09 Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence
Rough fuzzy set based scale space transforms and their use in image analysis
International Journal of Approximate Reasoning
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In this paper we consider the problem of unsupervised boundary localization in textured images, reporting a texture separation algorithm which extracts textural density gradients by a non-linear multiple scale-space analysis of the image. Mathematical morphology is adopted at two stages of the algorithm: firstly the scale-space analysis is modeled by a differential morphological filter, and secondly, texture boundaries are extracted by segmenting the images resulting from a multi-scale morphological gradient operation applied to detail images. The segmentation stage consists of a parallel hierarchical clustering algorithm, aimed at the minimization of a global cost functional taking into account region homogeneity and segmentation quality. Experiments on Brodatz textures and real images are reported.