Full text: Proceedings; XXI International Congress for Photogrammetry and Remote Sensing (Part B4-1)

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B4. Beijing 20 OH 
REFERENCES 
Borsotti, M., Campadelli, P., and Schettini, R. (1998). 
Quantitative evaluation of color image segmentation results. 
Pattern Recognition Letters, 79(8), pp. 741-747. 
Cardoso, J. S. and Corte-Real, L. (2005, Nov). Toward a 
generic evaluation of image segmentation. IEEE Transactions 
on Image Processing, 74(11), pp. 1773-1782. 
Chabrier, S., Emile, B., Rosenberger, C., and Laurent, H. (2006). 
Unsupervised performance evaluation of image segmentation. 
EURASIP Journal on Applied Signal Processing, pp. 963-06. 
Cheng, H., Jiang, X., Sun, Y., and Wang, J. (2001). Color image 
segmentation: advances and prospects. Pattern Recognition, 34, 
pp. 2259-2281. 
Deng, Y. and Manjunath, B. S. (2001). Unsupervised 
segmentation of color-texture regions in images and video. 
IEEE Transactions on Pattern Analysis and Machine 
Intelligence, 23(8), pp. 800-810. 
Espindola, G. M., Camara, G., Reis, I. A., Bins, L. S., and 
Monteiro, A. M. (2006). Parameter selection for region-growing 
image segmentation algorithms using spatial autocorrelation. 
International Journal of Remote Sensing, 27, pp. 3035-3040. 
Gauch, J. and Hsia, C. W. (1992). A comparison of three color 
image segmentation algorithms in four color spaces. 
Proceedings of the SPIE - The International Society for Optical 
Engineering, 1818, pp. 1168-1181. 
Jiang, X. Y., Marti, C., Imiger, C., and Bunke, H. (2005). Image 
segmentation evaluation by techniques of comparing clusterings. 
Image Analysis and Processing - ICIAP 2005 13th International 
Conference. Proceedings, 3617, pp. 344-351. 
Jiang, X. Y., Marti, C., Imiger, C., and Bunke, H. (2006). 
Distance measures for image segmentation evaluation. 
EURASIP Journal on Applied Signal Processing, pp. 208-209. 
Kato, Z., Pong, T., and Lee, J. (2001). Color image 
segmentation and parameter estimation in a markovian 
framework. Pattern Recognition Letters, 22, pp. 309-321. 
Martin, D., Fowlkes, C., and Malik, J. (2004). Learning to 
detect natural image boundaries using local brightness, color, 
and texture cues. IEEE Transactions On Pattern Analysis and 
Machine Intelligence, 26, pp. 530-549. 
Monteiro, F. C. and Campilho, A. C. (2006). Performance 
evaluation of image segmentation. Lecture Notes in Computer 
Science, 4141, pp. 248-259. 
Ndjiki-Nya, P., Simo, G., and Wiegand, T. (2006). Evaluation 
of color image segmentation algorithms based on histogram 
thresholding. Visual Content Processing and Representation, 
3893, pp. 214-222. 
Roman-Roldan, R., Gomez-Lopera, J. F., Atae-Allah, C., 
Martinez-Aroza, J., and Luque-Escamilla, P. L. (2001). A 
measure of quality for evaluating methods of segmentation and 
edge detection. Pattern Recognition, 34(5), pp. 969-80. 
Rosenberger, C. (2006). Adaptative evaluation of image 
segmentation results. In Y. Y. Tang, S. P. Wang, G. L. Lorette, 
D. S. Yeung, and H. Yan (Ed.), 2006 18th International 
Conference on Pattern Recognition pp. 399-402. 
Tyukin, I. Y., Prokhorov, D. V., and van Leeuwen, C. (2007). 
Adaptation and parameter estimation in systems with unstable 
target dynamics and nonlinear parametrization. IEEE 
Transactions On Automatic Control, 52, pp. 1543-1559. 
Unnikrishnan, R., Pantofaru, C., and Hebert, M. (2007, Jun). 
Toward objective evaluation of image segmentation algorithms. 
IEEE Transactions On Pattern Analysis and Machine 
Intelligence, 29(6), pp. 929-944. 
Wang, Y., Yang, J., and Peng, N. (2004). Synergism in color 
image segmentation. Pricai 2004: Trends In Artificial 
Intelligence, Proceedings, 3157, pp. 751-759. 
Wang, Z. and Boesch, R. (2007). Color- and texture-based 
image segmentation for improved forest delineation. IEEE 
Transactions on Geoscience and Remote Sensing, 45(10), pp. 
3055-3062. 
Wust, P., Gellermann, J., Beier, J., Wegner, S., Troger, J., 
Trtjgert, J., Stalling, D., Oswald, H., Hege, H. C., Deuflhard, P., 
and Felix, R. (1998). Evaluation of segmentation algorithms for 
generation of patient models in radiofrequency hyperthermia. 
Physics in Medicine and Biology, 43(11), pp. 3295-307. 
Zhang, Y. J. (1996). A survey on evaluation methods for image 
segmentation. Pattern Recognition, 29(8), pp. 1335-46. 
Zhang, Y. J. and Gerbrands, J. J. (1994). Objective and 
quantitative segmentation evaluation and comparison. Signal 
Processing, 39(1-2), pp. 43-54.
	        
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