Abstract
This paper presents a hybrid segmentation algorithm, which provides a synthetic image description in terms of regions. This method has been used to segment images of outdoor scenes. We have applied our segmentation algorithm to color images and images encoding 3D information. 5 different color spaces were tested. The segmentation results obtained with each color space are compared.
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Delignon, Y., Marzouki, A., Pieczynki, P.: Estimation of Generalized Mixtures and its Application to Images Segmentation. IEEE Trans. Images Processing 6(10), 1364–1376 (1997)
Deng, Y., Manjunath, B.S.: Unsupervised Segmentation of Color-Texture Regions in Images and Video. IEEE Trans. Pattern Analysis and Machine Intelligence 23, 800–810 (2001)
Duda, R.O., Hart, P.E.: Pattern Classification and Scene Analysis. Wiley, Chichester (1973)
Haddad, H., Khatib, M., Lacroix, S., Chatila, R.: Reactive navigation in outdoor environments using potential fields. In: International Conference on Robotics and Automation ICRA 1998, May 1998, pp. 1237–1332 (1998)
Huang, Q., Gao, W., Cai, W.: Thresholding Technique with Adaptive Window Selection for Uneven Lighting Image. Pattern recognition letters 26, 801–808 (2005)
Langan, D.A., Modestino, J.W., Zhang, J.: Cluster Validation of Unsupervised Stochastic Model-Based Image Segmentation. IEEE Trans. Images Processing 7(3), 180–195 (1997)
Luo, J.B., Guo, E.: Perceptual grouping of segmented regions in color images. Pattern Recognition 36, 2781–2792 (2003)
Murrieta-Cid, R., Briot, M., Vandapel, N.: Landmark Identification and Tracking in Natural Environment. In: Proc IEEE/RSJ Int’l Conf. on Intelligent Robots and Systems, pp. 179–184 (1998)
Murrieta-Cid, R., Parra, C., Devy, M., Briot, M.: Scene Modeling from 2D and 3D sensory data acquired from natural environments. In: Proc Int’l Conf. on Advanced Robotics, pp. 221–228 (2001)
Murrieta-Cid, R., Parra, C., Devy, M., Tovar, B., Esteves, C.: Building Multi-Level Models: From Landscapes to Landmarks. In: Proc IEEE Int’l Conf. on Robotics and Automation, pp. 4346–4353 (2002)
Murrieta-Cid, R., Parra, C., Devy, M.: Visual Navigation in Natural Environments: From Range and Color Data to a Landmark-based Model. Journal Autonomous Robots 13(2), 143–168 (2002)
Otsu, N.: A Threshold Selection Method from Gray-Level Histrograms. IEEE Transaction on Systems, Man and Cybernetics 9(1), 62–66 (1979)
Pal, N.R., Pal, S.K.: A review on image segmentation techniques. Pattern Recognition 26(9), 1277–1294 (1993)
Parra, C., Murrieta-Cid, R., Devy, M., Briot, M.: 3-D modeling and robot localization from visual and range data in natural scenes. In: Christensen, H.I. (ed.) ICVS 1999. LNCS, vol. 1542, pp. 450–468. Springer, Heidelberg (1998)
Liao, P.-S., et al.: A Fast Algorithm for Multilevel Thresholding. Journal of Information Science and Engineering 17, 713–727 (2001)
Saber, E., Tekalp, A.M., Eschbach, R., Knox, K.: Automatic Image Annotation Using Adaptative Color Classification. Graphical Models and Image Processing 58(2), 115–126 (1996)
Shafarenko, L., Petrou, M., Kittler, J.: Automatic Watershed Segmentation of Randomly Textured Color Images. IEEE Trans. Images Processing 6(11), 1530–1544 (1997)
Sezgin, M., Sankur, B.: Survey over Image Thresholding Techniques and Quantitative Performance Evaluation. Journal of Electronic Imaging 13(1), 146–165 (2004)
Shi, J., Malik, J.: Normalized Cuts and Image Segmentation. IEEE Trans. Pattern Analysis and Machine Intelligence 22(8), 888–905 (2000)
Tan, T.S.C., Kittler, J.: Colour texture analysis using colour histogram. IEE Proc.-Vis.Image Signal Process. 141(6), 403–412 (1994)
Vandapel, N., Moorehead, S., Whittaker, W., Chatila, R., Murrieta-Cid, R.: Preliminary results on the use of stereo, color cameras and laser sensors in Antarctica. In: Corke, P., et al. (eds.) Lecture Notes in Control and Information Sciences, vol. 250, pp. 450–468 (1999)
Virmajoki, O., Franti, P.: Fast Pairwise Nearest Neighbor based Algorithm for multilevel Thresholding. Journal of Electronic Imaging 12(14), 648–659 (2003)
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Murrieta-Cid, R., Monroy, R. (2006). A Hybrid Segmentation Method Applied to Color Images and 3D Information. In: Gelbukh, A., Reyes-Garcia, C.A. (eds) MICAI 2006: Advances in Artificial Intelligence. MICAI 2006. Lecture Notes in Computer Science(), vol 4293. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11925231_75
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DOI: https://doi.org/10.1007/11925231_75
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49026-5
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