Adaptive Image Enhancement Using Image Properties and Clustering
Автор: Nithyananda C R, Ramachandra A C
Журнал: International Journal of Image, Graphics and Signal Processing(IJIGSP) @ijigsp
Статья в выпуске: 8 vol.8, 2016 года.
Бесплатный доступ
Image Enhancement is the method of improving the visibility of given image. Image Properties are used for the analysis of Quality of the given image. Various image Properties considered to improve the quality of the image. The Classification or grouping of images can be made by applying unsupervised image Classification algorithm. In our proposed method, various image properties are studied and an Adaptive K-means Clustering method is applied for Fractal image with Entropy Properties. The images are to enhanced on the basis of its grouping automatically. The resulted Classification can be acceptable by the user since the grouping is made on the type of the image i.e., Good Visible, Moderate and Blur images.
Image Enhancement, Image Property, Normalization, Image Classification
Короткий адрес: https://sciup.org/15014001
IDR: 15014001
Список литературы Adaptive Image Enhancement Using Image Properties and Clustering
- Robert M Haralick, K Shanmugam and Its'hak Dinstein, "Textural Features for image Classification," IEEE Transactions on Systems, man an Cybernetics,vol. SMC-3, pp. 610-621, 1973.
- Lin Hong, Yifei Wan and Anil Jain, "Fingerprint Image Enhancement: Algorithm and Performance Evaluation," IEEE Transactions on Pattern Evaluation and Machine Intelligence, vol. 20, pp. 777-789, 1998.
- J Alex Stark, "Adaptive Image Contrast Enhancement Using Generalizations of Histogram Equalization," IEEE Transactions on Image on Image Processing, vol. 9, pp. 889-896, 2000.
- Bei Tang, Guillermo Sapiro and Vicent Caselles, "Color Image Enhancement via Chromaticity Diffusion," IEEE Transaction on Image Processing, vol.10, pp. 701-707, 2001.
- Jinshan Tang, Eli Peli and Scott Action, "Image Enhancement Using a Contrast Measure in the Compressed Domain," IEEE Signal Processing Letters, vol.10, pp. 289-292, 2003.
- Jean-Luc Starck, Fionn Murtagh, Emmanuel J Candès and David L Donoho, "Gray and Color Image Contrast Enhancement by the Curvelet Transform," IEEE Transaction on Image Processing, vol.12, pp. 706-717, 2003.
- Zhou Wang, Alan C Bovik, Hamid R. Sheikh, and Eero P Simoncelli, "Image Quality Assessment: From Error Visibility to Structural Similarity," IEEE Transactions on Image Processing, vol. 13, pp. 1-14, 2004.
- Yixin Chen, James Z Wang and Robert Krovetz, "CLUE: Cluster-based Retrieval of Images by Unsupervised Learning," IEEE Transactions on Image Processing, vol. 14, pp. 1187-1201 2005.
- Eun Kyung Yun and Sung Bae Cho, "Adaptive Fingerprint Image Enhancement with Fingerprint Image Quality Analysis," Elsevier Image and Vision Computing, vol. 24, pp.101-110, 2006.
- Grigorios F Tzortzis and Aristidis C. Likas, "The Global Kernel k-Means Algorithm for Clustering in Feature Space," IEEE Transactions on Neural Networks, vol. 20, pp. 1181-1194, 2009.
- Anna Brook, Eyal Ben-Dor, "Automatic Registration of Airborne and Space borne images by Topology Map matching with Surf Processor Algorithm," International Journal of International Society of Photogrammetry and Remote Sensing Technical Commission 7 Symposium, vol. 38, pp. 98-102, 2010.
- Hongzhao Yuan, Zhisheng Gao, Jun Yang, Xiuqiong Zhang and Xiaofeng Li, "An Adaptive Infrared Image Enhancement Algorithm for Enhanced Vision System," International Journal of Computational Information Systems, vol. 7, pp. 4090-4097, 2011.
- M Z Rashad, B S el-Desouky and Manal S Khawasik, "Plants Images Classification Based on Textural Features using Combined Classifier," International Journal of Computer Science & Information Technology, vol. 3, pp. 93-100, 2011.
- Le Hoang Thai, Tran Son Hai and Nguyen Thanh Thuy, "Image Classification using Support Vector Machine and Artificial Neural Network," International Journal of Information Technology and Computer Science, vol. 5, pp. 32-38, 2012.
- Chun-Ming Tsai, "Adaptive Local Power-Law Transformation for Color Image Enhancement," Applied Mathematics & Information Sciences, pp. 2019-2026, 2013.
- Hongteng Xu, Guangtao Zhai, Xiaolin Wu and Xiaokang Yang, "Generalized Equalization Model for Image Enhancement," IEEE Transactions on Multimedia, vol. 16, pp. 68-82, 2014.
- Zhi Zhou, Staci Sorense, Hongkui Zeng, Michael Hawrylycz and Hanchuan Pe, "Adaptive Image Enhancement for Tracing 3D Morphologies of Neurons and Brain Vasculatures," Springer Science Business Media, 2014.
- Sundararajan S and Karthikeyan S, "An Efficient Hybrid Approach Data Clustering using Dynamic k-means Algorithm and Firefly Algorithm," Asian Research Publishing Network Journal of Engineering and Applied Sciences, pp 1348-1353, 2014.
- Christos Boutsidis, Anastasios Zouzias, Michael W. Mahoney and Petros Drineas, "Randomized Dimensionality Reduction for k-Means Clustering," IEEE Transactions on Information Theory, vol. 61, pp. 1045-1062, 2015.
