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Active Contour Model Based Object Contour Detection Using Genetic Algorithm with Wavelet Based Image Preprocessing

Kyeong-Jun Mun, Hyeon Tae Kang, Hwa-Seok Lee, Yoo-Sool Yoon, Chang-Moon Lee, and June Ho Park
International Journal of Control, Automation, and Systems, vol. 2, no. 1, pp.100-106, 2004

Abstract : In this paper, we present a novel, rapid approach for the detection of brain tumors and deformity boundaries in medical images using a genetic algorithm with wavelet based preprocessing. The contour detection problem is formulated as an optimization process that seeks the contour of the object in a manner of minimizing an energy function based on an ac-tive contour model. The brain tumor segmentation contour, however, cannot be detected in case that a higher gradient intensity exists other than the interested brain tumor and deformi-ties. Our method for discerning brain tumors and deformities from unwanted adjacent tissues is proposed. The proposed method can be used in medical image analysis because the exact contour of the brain tumor and deformities is followed by precise diagnosis of the deformities.

Keyword : Genetic algorithm, image preprocessing, object contour detection, wavelet

 
 
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