Texture description and segmentation through fractal geometry
Computer Vision, Graphics, and Image Processing
Computer Vision
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
Boundary extraction in thermal images by edge map
Proceedings of the 2004 ACM symposium on Applied computing
Working Set Selection Using Second Order Information for Training Support Vector Machines
The Journal of Machine Learning Research
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Image Processing, Analysis, and Machine Vision
Image Processing, Analysis, and Machine Vision
Review article: Aircraft recognition in infrared image using wavelet moment invariants
Image and Vision Computing
An improved box-counting method for image fractal dimension estimation
Pattern Recognition
Cluster-based classification using self-organising maps for medical image databases
International Journal of Innovative Computing and Applications
Intelligent automated brain image segmentation
International Journal of Innovative Computing and Applications
Lacunarity analysis of raster datasets and 1D, 2D, and 3D point patterns
Computers & Geosciences
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Identification of tiny and large calcification in breast: a study on mammographic image analysis
International Journal of Bioinformatics Research and Applications
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Hi-index | 0.00 |
This paper presents a combination of efforts on the construction of a tool to help in the diagnosis by infrared breast images. It considers from the basic problem of image acquisition and storage in a database to the automatic extraction of the region of interest of each breast (left and right), the feature extraction, the decision and the limits of the diagnosis as well. The main objective of this study is the analysis of the viability of the use of the IR images for automatic detection of pathologies by texture symmetric analysis. Moreover numerical simulations and experimentations are developed in order to analyse the relation between the internal temperature of the breast and the temperature on the breast surface during the image acquisition.