N-dimensional moment invariants based aprroach for the analysis of mammography Images using GRID
Küçük Resim Yok
Tarih
2009
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Maltepe Üniversitesi
Erişim Hakkı
CC0 1.0 Universal
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
Özet
Mathematical morphology is a well-known image and signal processing technique. Mammography is among the most popular imaging techniques used in the diagnosis of breast cancer. The use of computer to assist clinicians in Digital mammography image screening has advantages over traditional methods. Computer Algorithms can enhance the appearance of the images and highlight suspicious areas. This paper describes the concept of digital mammography, its principles, moment invariants and a novel combination method for computer aided detection (CAD) that identifies structures of interest from medical images. Also descibes expected advantages using Grid capability for mammogram image processing. Grids computing promises to resolve many of the difficulties in facilitating medical image analysis to allow clinicians to collaborate without having to colocate. In this technique, some digital image processing methods such as contrast, enhancement and segmentation are used for beter processing the image in the next stage and for feature extraction stage of patter recognition approach. This proposed recognition method includes four stages. In first stage, a preprocessing system is realized for analyzing and sorting the images. In second stage localization of Region of Interest (ROI). ?In third stage, extraction mechanism and obtaining unique features from the same group of patterns. In forth stage, an adaptive system is used for recognition process. Fast method for computing moment function, for gray-level images are also constructed.
Açıklama
Anahtar Kelimeler
Kaynak
International Conference of Mathematical Sciences
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Aliu, A. ve Konpoposka, M. (2009). N-dimensional moment invariants based aprroach for the analysis of mammography Images using GRID. Maltepe Üniversitesi. s. 115.
