Scale space normalization technique for improved feature detection in uniform and non-uniform illumination changes

作者: Sundeep Vaddadi , Chong U. Lee , John H. Hong , Onur C. Hamsici

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摘要: A normalization process is implemented at a difference of scale space to completely or substantially reduce the effect that illumination changes has on feature/keypoint detection in an image. An image may be processed by progressively blurring using smoothening function generate smoothened for generated taking between two different versions normalized dividing third version image, where as smooth smoother than smoothest The then used detect one more features/keypoints

参考文章(15)
Qiong Liu, Hironori Yano, FUJI XEROX CO., LTD., FUJIFILM Corporation, Novel descriptor for image corresponding point matching ,(2009)
Mario Aguilar, Multi-scale image fusion ,(2006)
K. Ghosh, S. Sarkar, K. Bhaumik, Low-level brightness-contrast illusions and non classical receptive field of mammalian retina international conference on intelligent sensing and information processing. pp. 529- 534 ,(2005) , 10.1109/ICISIP.2005.1529511
David G. Lowe, Towards a Computational Model for Object Recognition in IT Cortex Lecture Notes in Computer Science. pp. 20- 31 ,(2000) , 10.1007/3-540-45482-9_3
David G. Lowe, Distinctive Image Features from Scale-Invariant Keypoints International Journal of Computer Vision. ,vol. 60, pp. 91- 110 ,(2004) , 10.1023/B:VISI.0000029664.99615.94
Gurumurthy Swaminathan, Vijendran Venkoparao, Saad Bedros, Multiple appearance models for face tracking in surveillance videos advanced video and signal based surveillance. pp. 383- 387 ,(2007) , 10.1109/AVSS.2007.4425341
Harman Philip Victor, Image processing method and apparatus ,(1999)