title: Feature and contrast enhancement of mammographic image based on multiscale analysis and morphology.
abstract: A new algorithm for feature and contrast enhancement of mammographic images is proposed in this paper. The approach bases on multiscale transform and mathematical morphology. First of all, the Laplacian Gaussian pyramid operator is applied to transform the mammography into different scale subband images. In addition, the detail or high frequency subimages are equalized by contrast limited adaptive histogram equalization (CLAHE) and low-pass subimages are processed by mathematical morphology. Finally, the enhanced image of feature and contrast is reconstructed from the Laplacian Gaussian pyramid coefficients modified at one or more levels by contrast limited adaptive histogram equalization and mathematical morphology, respectively. The enhanced image is processed by global nonlinear operator. The experimental results show that the presented algorithm is effective for feature and contrast enhancement of mammogram. The performance evaluation of the proposed algorithm is measured by contrast evaluation criterion for image, signal-noise-ratio (SNR), and contrast improvement index (CII).
authors.affiliation: Shenzhen Institute of Advanced Technology, Chinese Academy of Science, China ; Shenzhen Key Laboratory for Low-Cost Healthcare, China.
authors.forename: Shibin
authors.initials: S
authors.lastname: Wu
authors.affiliation: Shenzhen Institute of Advanced Technology, Chinese Academy of Science, China ; Shenzhen Key Laboratory for Low-Cost Healthcare, China.
authors.forename: Shaode
authors.initials: S
authors.lastname: Yu
authors.affiliation: Shenzhen Institute of Advanced Technology, Chinese Academy of Science, China ; Shenzhen Key Laboratory for Low-Cost Healthcare, China.
authors.forename: Yuhan
authors.initials: Y
authors.lastname: Yang
authors.affiliation: Shenzhen Institute of Advanced Technology, Chinese Academy of Science, China ; Shenzhen Key Laboratory for Low-Cost Healthcare, China.
authors.forename: Yaoqin
authors.initials: Y
authors.lastname: Xie
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000175:diagnosis* / Q000000981:diagnostic imaging; D003287:Contrast Media / Q000737:chemistry; D016208:Databases, Factual; D005260:Female; D006801:Humans; D008327:Mammography; D008962:Models, Theoretical; D016011:Normal Distribution; D011856:Radiographic Image Enhancement / Q000379:methods*; D059629:Signal-To-Noise Ratio
chemical_list: D003287:Contrast Media