Noise resistant gradient calculation and edge detection using local binary patterns

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7728 LNCS, Issue PART 1, 2013, Pages 1-14

  Teutsch, Michael ^a   Beyerer, Jürgen ^a  

^a FRAUNHOFER IOSB   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CANNY EDGE DETECTORS; CONTOUR EXTRACTION; GRADIENT CALCULATIONS; LINE DETECTION; LOCAL BINARY PATTERNS; NEW APPROACHES; NORMAL CONDITION; TEXTURE ANALYSIS;

IMAGE SEGMENTATION; OPTICAL DATA PROCESSING; SYNTHETIC APERTURE RADAR;

EDGE DETECTION;

EID: 84875992963     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-37410-4_1     Document Type: Conference Paper

References (19)

1. Canny, J.: Computational Approach to Edge Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 8, 679-698 (1986)
2. Korn, A.: Toward a Symbolic Representation of Intensity Changes in Images. IEEE Transactions on Pattern Analysis and Machine Intelligence 10, 610-625 (1988)
3. Kitanovski, V., Taskovski, D., Panovski, L.: Multi-scale Edge Detection Using Undecimated Wavelet Transform. In: Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, ISSPIT (2008)
4. Agaian, S., Almuntashri, A.: Noise-Resilient Edge Detection Algorithm for Brain MRI Images. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC (2009)
5. Sun, X., Sun, G.: A New Noise-resistant Algorithm for Edge Detection. In: Proceedings of the Second International Workshop on Education Technology and Computer Science, ETCS (2010)
6. Panetta, K.A., Agaian, S.S., Nercessian, S.C., Almunstashri, A.A.: Shape-dependent canny edge detector. Optical Engineering 50 (2011)
7. Abdou, I.E., Pratt, W.K.: Quantitative design and evaluation of enhancement/thresholding edge detectors. Proceedings of the IEEE 67, 753-763 (1979)
8. Chen, Y., Das, M.: Robust edge and corner detection using noise identification and adaptive thresholding techniques. In: Proceedings of the IEEE International Conference on Electro/Information Technology (2007)
9. Hou, Z.J., Wei, G.W.: A new approach to edge detection. Pattern Recognition 35, 1559-1570 (2002)
10. Chang, C.Y.: Contextual-based Hopfield neural network for medical image edge detection. Optical Engineering 45 (2006)
11. Ojala, T., Pietikäinen, M., Mäenpää, T.: Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence 24, 971-987 (2002)
12. Guo, Z., Zhang, L., Zhang, D.: A Completed Modeling of Local Binary Pattern Operator for Texture Classification. IEEE Transactions on Image Processing 19, 1657-1663 (2010)
13. An, K.H., Park, S.H., Chung, Y.S., Moon, K.Y., Chung, M.J.: Learning discriminative multi-scale and multi-position LBP features for face detection based on Ada-LDA. In: Proceedings of the IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 1117-1122 (2009)
14. Heikkilä, M., Pietikäinen, M.: A Texture-Based Method for Modeling the Background and Detecting Moving Objects. IEEE Transactions on Pattern Analysis and Machine Intelligence 28, 657-662 (2006)
15. Teutsch, M., Saur, G.: Segmentation and Classification of Man-Made Maritime Objects in TerraSAR-X Images. In: Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, IGARSS (2011)
16. Heikkilä, M., Pietikäinen, M., Schmid, C.: Description of Interest Regions with Local Binary Patterns. Pattern Recognition 42, 425-436 (2009)
17. Mäenpää, T.: The Local Binary Pattern Approach to Texture Analysis - Extensions and Applications. Dissertation, University of Oulu, Finland (2003)
18. Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: From error visibility to structural similarity. IEEE Transactions on Image Processing 13, 600-612 (2004)
19. Bradski, G.: The OpenCV Library. Dr. Dobb's Journal of Software Tools (2000)