Entropy based image separation
作者： I-Ting Fang , Bolan Jiang , Aditya Sharma , Disha Ahuja
DOI:
关键词: Pattern recognition 、 Cluster analysis 、 Mathematics 、 Artificial intelligence 、 Image segmentation 、 Pixel 、 Edge orientation 、 Image separation 、 Image based 、 Entropy (information theory) 、 Entropy estimation
摘要: Entropy based image segmentation determines entropy values for pixels in an on intensity or edge orientation. One more threshold are determined as a fraction of the distribution over image. For example, high and/or low thresholds may be generated to identify regions associated with trees sky, respectively. The compared threshold(s) from which within can segmented. Intensity has no structural information, and thus, proximity clustering pruning points is performed. A mask applied segmented remove image, useful in, e.g., objection recognition processes. Additionally, separate buildings identified using orientation pruning.
lens.org 参考文章(10)
Hongsheng Zhao, Yulin Li, Jie Wang, Image processing method, apparatus and system ,(2002)
Henrique S. Malvar, Erin L. Renshaw, Adaptive compression of multi-level images ,(2005)
Thomas Kalinke, Werner von Seelen, Entropie als Maß des lokalen Informationsgehalts in Bildern zur Realisierung einer Aufmerksamkeitssteuerung Mustererkennung 1996, 18. DAGM-Symposium. pp. 627- 634 ,(1996) , 10.1007/978-3-642-80294-2_65
Pedro F. Felzenszwalb, Daniel P. Huttenlocher, Efficient Graph-Based Image Segmentation International Journal of Computer Vision. ,vol. 59, pp. 167- 181 ,(2004) , 10.1023/B:VISI.0000022288.19776.77
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu, Christine Piatko, Ruth Silverman, Angela Y. Wu, The analysis of a simple k-means clustering algorithm symposium on computational geometry. pp. 100- 109 ,(2000) , 10.1145/336154.336189
Chengxin Yan, Nong Sang, Tianxu Zhang, Local entropy-based transition region extraction and thresholding Pattern Recognition Letters. ,vol. 24, pp. 2935- 2941 ,(2003) , 10.1016/S0167-8655(03)00154-5
Hui Zhang, Jason E. Fritts, Sally A. Goldman, An entropy-based objective evaluation method for image segmentation electronic imaging. ,vol. 5307, pp. 38- 49 ,(2003) , 10.1117/12.527167
P. Parodi, G. Piccioli, A feature-based recognition scheme for traffic scenes intelligent vehicles symposium. pp. 229- 234 ,(1995) , 10.1109/IVS.1995.528285
Uwe Handmann, Thomas Kalinke, Christos Tzomakas, Martin Werner, Werner von Seelen, Computer vision for driver assistance systems Enhanced and Synthetic Vision 1998. ,vol. 3364, pp. 136- 147 ,(1998) , 10.1117/12.317463
Masoumeh Bourjandi, Image Segmentation Using Thresholding by Local Fuzzy Entropy-Based Competitive Fuzzy Edge Detection international conference on computer and electrical engineering. ,vol. 2, pp. 298- 301 ,(2009) , 10.1109/ICCEE.2009.172