An Adaptive Enhancement Filter For Mammographie Phantom Image
We evolve an image enhancement method for facilitating further object detection process. For this purpose an adaptive neighbourhood image processing technique with a contrast-enhancement function is used. In order to compare function performance, simulated images containing objects similar to those observed in the phantom, with various relative contrasts and various Signal to Noise Ratio levels, were generated. When using appropriate contrast enhancement functions results show that the process enhances noteworthy features both in simulated images and real phantom images with little noise enhancement.
KeywordsNoise Reduction Digital Mammography Simulated Image Contrast Level Phantom Image
Unable to display preview. Download preview PDF.
- 1.Computerized Imaging Reference Systems, Inc., 2428 Almeda Avenue suite 212, Norflok, VA 23513, USAGoogle Scholar
- 3.V. Guis, M. Adel, M. Rasigni, G. Rasigni, B. Seradour, P. Heid: Noise reduction in mammographie phantom images using adaptive neighbourhood contrast enhancement. Advanced Concepts for Intelligent Vision Systems, Proceedings of The Second International Symposium on Intelligent Vision Systems Baden Baden (2001) 106–111Google Scholar
- 5.Dhawan AP, G. Buelloni G, Gordon R: Enhancement of mammographic features by optimal adaptative neighborhood image processing, IEEE Trans. Med. Imag.Vol MI-5, N° 1, (1986).Google Scholar