A5020328277- Image Retrieval and Classification Techniques
- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
- Advanced Image Fusion Techniques
- Image and Signal Denoising Methods
- Advanced Vision and Imaging
- Image Processing Techniques and Applications
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Biomedical Text Mining and Ontologies
Sidi Mohamed Ben Abdellah University
2017-2019
École Normale Supérieure - PSL
2015
In this paper, we will present a new method of image reconstruction using type separable discrete orthogonal moments called the Krawtchouk-Tchebichef moments. The latter are based on bivariate polynomials defined from product Krawtchouk and Tchebichef with variable. is made blocks each slice for small orders. By experiments show effectiveness our respect to global approach possibility reconstructing by compared classical Krawtchouk.
The purpose of this paper is to compare two methods computation image moments and its inverse, the first common recursive method based on Krawtchouk polynomials with respect x, second basis Clenshaw's formula. This in a time will define these evaluate it each other. We finally prove accuracy proposed term consumed.
In this paper we introduce a method for fast computation of Krawtchouk moments by using cascaded digital filters. The proposed based on the outputs filters operating as accumulators are combined with simplified polynomials to form depends formulation in terms binomial functions. theoretical framework is validated an experiment then results compared recursive. Experimental show that both algorithm compute perform better than recursive term speed. Finally, performances computational describing...
This paper describes a Using of ontologies in the context medical imaging: breast cancer, we first propose construction domain ontology about disease cancer. Then, annotation images on cancer by concepts our ontology, allowing their semantic interpretations. We chose to establish endorsement semi-automatic manner using "PhotoStuff" which is tool based library Java classes called Jena; result metadata RDF.