Color image segmentation based on different color space models using automatic GrabCut.
作者： Dina Khattab , Hala Mousher Ebied , Ashraf Saad Hussein , Mohamed Fahmy Tolba
DOI: 10.1155/2014/126025
关键词:
摘要: This paper presents a comparative study using different color spaces to evaluate the performance of image segmentation automatic GrabCut technique. is considered as one semiautomatic techniques, since it requires user interaction for initialization process. The automation technique proposed modification original in order eliminate interaction. utilizes unsupervised Orchard and Bouman clustering phase. Comparisons with show efficiency terms segmentation, quality, accuracy. As no explicit space recommended every problem, applied RGB, HSV, CMY, XYZ, YUV spaces. experimental results images that RGB best representation set used.
hindawi.com参考文章(29)
Yi Hu, Human Body Region Extraction from Photos Journal of Machine Vision and Applications. pp. 473- 476 ,(2007)
Laurent Busin, Nicolas Vandenbroucke, Ludovic Macaire, Color Spaces and Image Segmentation Advances in Imaging and Electron Physics. ,vol. 151, pp. 65- 168 ,(2008) , 10.1016/S1076-5670(07)00402-8
Aranzazu Jurio, Miguel Pagola, Mikel Galar, Carlos Lopez-Molina, Daniel Paternain, A Comparison Study of Different Color Spaces in Clustering Based Image Segmentation international conference information processing. pp. 532- 541 ,(2010) , 10.1007/978-3-642-14058-7_55
G. Ruiz-Ruiz, J. Gómez-Gil, L.M. Navas-Gracia, Testing different color spaces based on hue for the environmentally adaptive segmentation algorithm (EASA) Computers and Electronics in Agriculture. ,vol. 68, pp. 88- 96 ,(2009) , 10.1016/J.COMPAG.2009.04.009
Cheng-Jin Du, Da-Wen Sun, Comparison of three methods for classification of pizza topping using different colour space transformations Journal of Food Engineering. ,vol. 68, pp. 277- 287 ,(2005) , 10.1016/J.JFOODENG.2004.05.044
A. K. Jain, M. N. Murty, P. J. Flynn, Data clustering: a review ACM Computing Surveys. ,vol. 31, pp. 264- 323 ,(1999) , 10.1145/331499.331504
Miguel Pagola, Rubén Ortiz, Ignacio Irigoyen, Humberto Bustince, Edurne Barrenechea, Pedro Aparicio-Tejo, Carmen Lamsfus, Berta Lasa, New method to assess barley nitrogen nutrition status based on image colour analysis Computers and Electronics in Agriculture. ,vol. 65, pp. 213- 218 ,(2009) , 10.1016/J.COMPAG.2008.10.003
Jose M. Chaves-González, Miguel A. Vega-Rodríguez, Juan A. Gómez-Pulido, Juan M. Sánchez-Pérez, Detecting skin in face recognition systems: A colour spaces study Digital Signal Processing. ,vol. 20, pp. 806- 823 ,(2010) , 10.1016/J.DSP.2009.10.008
Olivier Alata, Ludovic Quintard, Is there a best color space for color image characterization or representation based on Multivariate Gaussian Mixture Model Computer Vision and Image Understanding. ,vol. 113, pp. 867- 877 ,(2009) , 10.1016/J.CVIU.2009.03.001
Nicolas Vandenbroucke, Ludovic Macaire, Jack-Gérard Postaire, Color image segmentation by pixel classification in an adapted hybrid color space: application to soccer image analysis Computer Vision and Image Understanding. ,vol. 90, pp. 190- 216 ,(2003) , 10.1016/S1077-3142(03)00025-0