Genetic Optimization of Morphological Filters with Applications in Breast Cancer Detection

In this paper we apply genetic algorithms to morphological filter optimization. The validation of the method is illustrated by performing experiments with synthetic images, whose optimal filter is known. Applications to microscopic images of breast tissue are reported. The medical problem consists in the discrimination between cancerous tissue and normal one.

[1]  Louis A. Tamburino,et al.  Evolving pattern recognition systems , 2002, IEEE Trans. Evol. Comput..

[2]  Kristel Michielsen,et al.  Morphological image analysis , 2000 .

[3]  Riccardo Poli,et al.  Genetic programming for mathematical morphology algorithm design on binary images , 2002 .

[4]  Pierre Soille,et al.  Mathematical Morphology and Its Applications to Image Processing , 1994, Computational Imaging and Vision.

[5]  Hiromitsu Yamada,et al.  Automatic acquisition of hierarchical mathematical morphology procedures by genetic algorithms , 1999, Image Vis. Comput..

[6]  Pauli Kuosmanen,et al.  Optimization of soft-morphological filters by genetic algorithms , 1994, Optics & Photonics.

[7]  Joakim Lindblad,et al.  A Comparison of Methods for Estimation of Intensity Non-Uniformities in 2D and 3D Microscope Images of Fluorescence Stained Cells , 2001 .

[8]  Jean Serra,et al.  Image Analysis and Mathematical Morphology , 1983 .

[9]  Hong Yan,et al.  Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition , 1996, Advances in Fuzzy Systems - Applications and Theory.

[10]  Louis A. Tamburino,et al.  An evolutionary learning system for synthesizing complex morphological filters , 1996, IEEE Trans. Syst. Man Cybern. Part B.

[11]  L. Ballerini,et al.  Fractal Analysis of Microscopic Images of Breast Tissue , 2005 .

[12]  Stephen Marshall,et al.  Genetic algorithm optimization of multidimensional grayscale soft morphological filters with applications in film archive restoration , 2003, IEEE Trans. Circuits Syst. Video Technol..

[13]  Sven Loncaric,et al.  Near-optimal mst-based shape description using genetic algorithm , 1995, Pattern Recognit..

[14]  Jean Paul Frédéric Serra.  Morphological filtering: An overview , 1994, Signal Process..

[15]  A. Asano.  Unsupervised optimization of nonlinear image processing filters using morphological opening/closing spectrum and genetic algorithm , 2000 .

[16]  Dan Schonfeld.  Optimal Structuring Elements for the Morphological Pattern Restoration of Binary Images , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[17]  J. Goutsias,et al.  Optimal Morphological Pattern Restoration from Noisy Binary Images , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[18]  Stephen Marshall,et al.  The use of genetic algorithms in morphological filter design , 1996, Signal Process. Image Commun..