EQUALIZING AND SEGMENTING IMAGES USING COLOR INFORMATION
Keywords:
Color image processing; Equalization; SegmentationAbstract
Digital image processing techniques are generally applied to grayscale images, despite the large availability of color images. Although the literature always devotes some topic to the study of processing using colors and, they claim that all processing with grayscale images can be extended to color images, using the three color channels, in practice, the processing of color images still it is very little explored. Thus, this work presents some proposals for using color information in segmentation (using an edge detector) and in image equalization (presents a proposal that avoids the conversion between color models). The results obtained are evaluated through a qualitative and quantitative analysis of the images obtained with traditional processing, using only gray tones and images obtained using the proposed strategies. The results show that different ways of combining color information during the process lead to very different results.
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References
CANNY, J., A Computational Approach to Edge Detection, IEEE Trans. Pattern Analysis and Machine Intelligence, 1986.
GOMES J., VELHO L., Computação Gráfica: Imagem, IMPA/SBM, Rio de Janeiro,1994.
CRULHAS, J.P.R., ARTERO, A.O., Piteri, M.A., SILVA, F.A., PEREIRA, D.R., ELER, D.D., Albuquerque, V.H.C., Blank Spots Identification on Plantations, IEEE LATIN AMERICA TRANSACTIONS, Vol. 16, No 8, PP. 2115-2121, 2018.
GONZALES, R., WOODS, R., Processamento Digital de Imagens, Editora Edgard Blücher, São Paulo, 1999.
JIANWEI, W., An Improved Method of Color Image Edge Detection Based on One Order Gradient Operator, International Journal of Hybrid Information Technology Vol.6, No.5 (2013), pp.151-162.
MCANDREW, A., An Introduction to Digital Image Processing with Matlab, Melbourn, 2004.
OTHMAN, Z; HARON, H.; KADIR, M.R., A Comparison of Canny and Sobel Edge Detection in MRI Images, Comput. Sci. Biomech., pag. 133-136, 2009,
PARKER, J. R., Algorithms For Image Processing and Computer Vision, John Wiley & Sons, New York, 1996.
SANG, H; MA, Y.; HUANG, J. Robust Palmprint Recognition Base on Touch-Less Color Palmprint Images Acquired, Journal of Signal and Information Processing, Vol.4 No.2(2013), Article ID:30995,6 pages.
SILVA, W.D.F.D., Modelos de Representação de cores, 1995. Disponível em: http://www. dca.fee.unicamp.br/~lotufo/ Courses/ia-636-1995/well/trabalho.html. Acesso em: 26 de maio de 2018.
SOUTO, R.P., Segmentação de Imagem multiespectral utilizando-se o Atributo Matiz. São José dos Campos: INPE, 2000. Disponível em: www.obt.inpe.br/pgsere/ Souto-RP-2000/publicacao.pdf. Acesso em: 16 de abril de 2018.
Zhu, S-Y.; Plataniotis, K.N.; Venetsanopoulos, A.N., Comprehensive analysis of edge detection in color image processing, Optical Engineering, Vol. 38, N. 4, 1998.