Image enhancement using multi scale image features extracted by top-hat transform

Optics and Laser Technology

Volumn 44, Issue 2, 2012, Pages 328-336

  Bai, Xiangzhi ^a   Zhou, Fugen ^a   Xue, Bindang ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

Image enhancement; Mathematical morphology; Top hat transform

Indexed keywords

IMAGE ENHANCEMENT; MATHEMATICAL MORPHOLOGY; MATHEMATICAL TRANSFORMATIONS;

IMAGE DETAILS; IMAGE FEATURES; IMAGE REGIONS; NOISE REGIONS; NOVEL ALGORITHM; STRUCTURING ELEMENT; TOP-HAT TRANSFORM;

IMAGE PROCESSING;

EID: 84861531289     PISSN: 00303992     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.optlastec.2011.07.009     Document Type: Article

References (40)

1. Yang Guang-Zhong, Hansell David M. CT image enhancement with wavelet analysis for the detection of small airways disease. IEEE Transactions on Medical Imaging 1997;16(6):953-61.
2. Truc Phan TH, Khan Md AU, Lee Young-Koo, Lee Sungyoung, Kim Tae-Seong. Vessel enhancement filter using directional filter bank. Computer Vision and Image Understanding 2009;113:101-12.
3. Hong Lin, Wan Yifei, Jain Anil. Fingerprint image enhancement: algorithm and performance evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence 1998;20(8):777-89.
4. Chen Yang Laijun, Lu Heping, Lin Renchu, Guan Xiaohu, Shi Yanchun Liang. A fuzzy-statistics-based principal component analysis (FS-PCA) method for multispectral image enhancement and display. IEEE Transactions on Geoscience and Remote Sensing 2008;46(11):3937-47.
5. Smolka B, Wojciechowski KW. Random walk approach to image enhancement. Signal Processing 2001;81:465-82.
6. Kenney C, Deng Y, Manjunath BS, Hewer G. Peer group image enhancement. IEEE Transactions on Image Processing 2001;10(2):326-34.
7. Edoardo Provenzi Carlo, Gatta Massimo, Fierro Alessandro Rizzi. A spatially variant white-patch and gray-world method for color image enhancement driven by local contrast. IEEE Transactions on Pattern Analysis and Machine Intelligence 2008;30(10):1767-70.
8. Naik Sarif Kumar, Murthy CA. Hue-preserving color image enhancement without gamut problem. IEEE Transactions on Image Processing 2003;12(12): 1591-8.
9. Kai-Qi Huang Qiao Wang, Wu Zhen-Yang. Natural color image enhancement and evaluation algorithm based on human visual system. Computer Vision and Image Understanding 2006;103:52-63.
10. Chen T, Wu QH, Rahmani-Torkaman R, Hughes. J. A pseudo top-hat mathematical morphological approach to edge detection in dark regions. Pattern Recognition 2002;35:199-210.
11. Wan Yi, Shi Dongbin. Joint exact histogram specification and image enhancement through the wavelet transform. IEEE Transactions on Image Processing 2007;16(9):2245-50.
12. Young Sik Choi Raghu Krishnapuram. A robust approach to image enhancement based on fuzzy Logic. IEEE Transactions on Image Processing 1997; 6(6):808-25.
13. Farbiz Farzam, Bager Menhaj Mohammad, Motamedi Seyed A, Hagan Martin T. A new fuzzy logic filter for image enhancement. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics 2000;30(1):110-9.
14. Fischl Bruce, Schwartz Eric L. Adaptive nonlocal filtering: a fast alternative to anisotropic diffusion for image enhancement. IEEE Transactions on Pattern Analysis and Machine Intelligence 1999;21(1):42-8.
15. Tang Bei, Sapiro Guillermo, Caselles Vicent. Color image enhancement via chromaticity diffusion. IEEE Transactions on Image Processing 2001;10(5): 701-7.
16. Gilboa Guy, Sochen Nir, Zeevi Yehoshua Y. Image enhancement and denoising by complex diffusion processes. IEEE Transactions on Pattern Analysis and Machine Intelligence 2004;26(8):1020-36.
17. Gilboa Guy, Sochen Nir, Zeevi Yehoshua Y. Forward-and-backward diffusion processes for adaptive image enhancement and denoising. IEEE Transactions on Image Processing 2002;11(7):689-703.
18. Greenspan Hayit, Anderson Charles H, Akber Sofia. Image enhancement by nonlinear extrapolation in frequency space. IEEE Transactions on Image Processing 2000;9(6):1035-48.
19. Agaian Sos S, Panetta Karen, Grigoryan Artyom M. Transform-based image enhancement algorithms with performance measure. IEEE Transactions on Image Processing 2001;10(3):267-382.
20. Mencattini Arianna, Salmeri Marcello, Lojacono Roberto, Frigerio Manuela, Caselli Federica. Mammographic images enhancement and denoising for breast cancer detection using dyadic wavelet processing. IEEE Transactions on Instrumentation and Measurement 2008;57(7):1422-30.
21. Foracchia M, Grisan E, Ruggeri A. Luminosity and contrast normalization in retinal images. Medical Image Analysis 2005;9:179-90.
22. Serra J. Image analysis and mathematical morphology. New York: Academic Press; 1982.
23. Soille P. Morphological image analysis - principle and applications. Germany: Springer; 1999.
24. Shih Frank Y, Gaddipati Vijayalakshmi. General sweep mathematical morphology. Pattern Recognition 2003;36:1489-500.
25. Mendiola-Santibanez Jorge D, Terol-Villalobos Ivan R, Herrera-Ruiz Gilberto, Fernandez-Bouzas Antonio. Morphological contrast measure and contrast enhancement: one application to the segmentation of brain MRI. Signal Processing 2007;87:2125-50.
26. Bai Xiangzhi, Sun Changming, Zhou Fugen. Splitting touching cells based on concave points and ellipse fitting. Pattern Recognition 2009;42(11):2434-46.
27. Albiol Antonio, Serra Jean. Morphological image enlargements. Journal of Visual Communication and Image Representation 1997;8(4):367-83.
28. Angulo Jesus. Morphological colour operators in totally ordered lattices based on distances: application to image filtering, enhancement and analysis. Computer Vision and Image Understanding 2007;107:56-73.
29. Bai Xiangzhi, Zhou Fugen, Xie Yongchun, Jin Ting. Enhanced detectability of point target using adaptive morphological clutter elimination by importing the properties of the target region. Signal Processing 2009;89:1973-89.
30. Jackway PT. Improved morphological top-hat. Electronics Letters 2000; 36(14):1194-5.
31. Zhang F, Li C, Shi L. Detecting and tracking dim moving point target in IR image sequences. Infrared Physics and Technology 2005;46:323-8.
32. Zeng Ming, Li Jianxun, Peng Zhang. The design of top-hat morphological filter and application to infrared target detection. Infrared Physics and Technology 2006;48:67-76.
33. Bai Xiangzhi, Zhou Fugen. Analysis of new top-hat transformation and the application for infrared dim small target detection. Pattern Recognition 2010;43(6):2145-56.
34. Jalba Andrei C, Wilkinson Michael HF, Roerdink Jos BTM. Morphological hat-transform scale spaces and their use in pattern classification. Pattern Recognition 2004;37:901-15.
35. Oliveira MA, Leite. NJ. A multiscale directional operator and morphological tools for reconnecting broken ridges in fingerprint images. Pattern Recognition 2008;41:367-77.
36. Susanta Mukhopadhyay Bhabatosh Chanda. A multiscale morphological approach to local contrast enhancement. Signal Processing 2000;80:685-96.
37. De I, Chanda B, Chattopadhyay B. Enhancing effective depth-of-field by image fusion using mathematical morphology. Image and Vision Computing 2006; 24:1278-87.
38. Rui Lai Yin-tang, Yang Bing-jian, Wang Hui-xin Zhou. A quantitative measure based infrared image enhancement algorithm using plateau histogram. Optics Communications 2010;283:4283-8.
39. Kaufmann A. Introduction to the theory of fuzzy. Academic Press; 1975.
40. Xiangzhi Bai, Fugen Zhou. Multi scale top-hat transform based algorithm for image enhancement. In: Proceedings of the International conference on signal processing, Beijing, China; 2010. p. 797-800.