Texture description and segmentation through fractal geometry
Computer Vision, Graphics, and Image Processing
A fractal image analysis systems for fabric inspection based on a box-counting method
Computer Networks and ISDN Systems - Special issue on graphics research and education on the World Wide Web
Multi-Bands Image Analysis Using Local Fractal Dimension
SIBGRAPI '01 Proceedings of the 14th Brazilian Symposium on Computer Graphics and Image Processing
Combining approaches for early diagnosis of breast diseases using thermal imaging
International Journal of Innovative Computing and Applications
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An approach is presented for characterize objects and image texture by local lacunarity. This measure makes possible to distinguish sets that have same fractal dimension. In image analysis it can be used as a new feature in the pattern recognition process mainly for identification of natural textures. Illustrating the approach, two types of examples were presented: 3D objects representing approximations of fractal sets and medical images. In the first type, we apply this approach to show its possibility when the objects presents the same fractal dimension. The second type shows that it can be used as a feature on pattern recognition alone in many resolutions.