Sebastian has been a researcher at the CIO since June 2020. He studied a Bachelor's degree in Computer Science at the Universidad Autónoma Benito Juárez de Oaxaca (UABJO). He studied a Master's degree in Electrical Engineering at the University of Guanajuato (UG). D. in Computer Science from the Universidad Autónoma de Querétaro (UAQ). He has carried out research stays in the Universidad Complutense de Madrid (UCM), the Mathematics Research Center (CIMAT), the Polytechnic University of Catalonia in collaboration with the Barcelona Supercomputing Centre (UPC-BSC), the National Institute of Astrophysics, Optics and Electronics (INAOE) and the Optics Research Center (CIO). He has published more than a dozen articles in recognized scientific journals. In addition, he is a reviewer of the most recognized international journals in his area.
Research Lines:
- Computer vision
- Image processing
- Artificial Intelligence
- Biomedical Signal Processing
Strategic areas:
- Machine vision applications
- Health (biomedical signals )
Selected Publications:
2020
- S. Salazar-Colores, H. M. Jiménez, C. J. Ortiz-Echeverri and G. Flores, "Desmoking Laparoscopy Surgery Images Using an Image-to-Image Translation Guided by an Embedded Dark Channel," in IEEE Access, vol. 8, pp. 208898-208909, 2020, doi: 10.1109/ACCESS.2020.3038437.
- Salazar-Colores, S., Moya-Sánchez, E. U., Ramos-Arreguín, J. M., Cabal-Yépez, E., Flores, G., and Cortés, U. (2020). Fast single image defogging with robust sky detection. IEEE Access, 8:149176–149189.
- Sánchez-Reyes, L.-M., Rodríguez-Reséndiz, J., Salazar-Colores, S., Avecilla-Ramírez, G. N., and Pérez-Soto, G. I. (2020). A high-accuracy mathematical morphology and multilayer perceptron-based approach for melanoma detection. Applied Sciences, 10(3):1098.
- Moya-Sánchez, E. U., Xambó-Descamps, S., Pérez, A. S., Salazar-Colores, S.,Martinez-Ortega, J., and Cortés, U. (2020). A bio-inspired quaternion local phase cnn layer with contrast invariance and linear sensitivity to rotation angles.Pattern Recognition Letters, 131:56–62
2019
- Salazar-Colores, S., Ramos-Arreguín, J.-M., Pedraza-Ortega, J.-C., and Rodríguez-Reséndiz, J. (2019c). Efficient single image dehazing by mod-ifying the dark channel prior. EURASIP Journal on Image and Video Processing, 2019(1):66
- López-Torres, C.-V., Salazar-Colores, S., Kells, K., Pedraza-Ortega, J.-C., and Ramos-Arreguin, J.-M. (2019). Improving 3d reconstruction accuracy in wavelet transform profilometry by reducing shadow effects. IET Image Processing
- Ortiz-Echeverri, C. J., Salazar-Colores, S., Rodríguez-Reséndiz, J., and Gómez-Loenzo, R. A. (2019b). A new approach for motor imagery classification based on sorted blind source separation, continuous wavelet transform, and convolutional neural network. Sensors, 19(20):4541
- Salazar-Colores, S., Moya-Sánchez, Ulises, E., Ramos-Arreguín, J.-M., and Cabal-Yépez, E. (2019b). Statistical multidirectional line dark channel for single-image dehazing. IET Image Processing, 13(14):2877–288
- Salazar-Colores, S., Méndez-Molina, A., Carrillo-López,D., Escobar-Juárez, E., Morales, E. F., and Sucar, L. E.(2019a). A fast and robust deep learning approachfor hand object grasping confirmaࢢon. InMexicanInternational Conference on Artificial Intelligence, pages601–612. Springer, Cham
- Cruz-Aceves, S. Salazar-Colores, F. Cervantes-Sanchez, A. Hernandez-Aguirre. 3. An unsupervised graph-based approach for the representation of coronary arteries in X-ray angiograms. In Siddhartha Bhadacharyya, IndrajitPan, Abhijit Das, Shibakali Gupta (Eds.), Intelligent Mutimedia Data Analysis (pp. 43–64). Berlin, Boston: DeGruyter, 2019.
- Ortiz-Echeverri, C., Paredes, O., Salazar-Colores, J. S.,Rodríguez-Reséndiz, J., and Romo-Vázquez, R. (2019a).A comparative study of time and frequency features for eeg classification. In Latin American Conference on Biomedical Engineering, pages 91–97. Springer
2018
- Salazar-Colores, S., Cabal-Yepez, E., Ramos-Arreguin, J. M., Botella, G., Ledesma-Carrillo, L. M., and Ledesma, S. (2018a). A fast image dehazing algorithm using morphological reconstruction. IEEE Transactions on Image Processing, 28(5):2357–2366
- Salazar-Colores, S., Ramos-Arreguin, J.-M., Echeverri, C. J. O., Cabal-Yepez, E., Pedraza-Ortega, J.-C., and Rodriguez-Resendiz, J. (2018c). Image dehazing using morphological opening, dilation and gaussian filtering. Signal, Image and Video Processing, 12(7):1329–1335
- Salazar-Colores, S., Cruz-Aceves, I., and Ramos-Arreguin, J.-M. (2018b). Single image dehazing using a mutilayer perceptron. Journal of Electronic Imaging, 27(4)
- Salazar Colores, S., Garduño Aparicio, M., Moya Sánchez, E. U., Lopez Torres, C. V., and Ramos Arreguín, J. M. (2019). Dark channel applied for redution of the effects of non-uniform illumination in image binarization. Computación y Sistemas, 23(2):409–416
- E. Ulises Moya- Sanchez, S. Salazar-Colores Sebastian, A. Sanchez and U. Cortes, Quaternion Phase CNN, 21st International Conferenceof the Catalan Association for Artificial ntelligence. 2018.
- E. Ulises Moya- Sanchez, S. Salazar Colores, A. Sanchez and U. Cortes. Deep Learning Monogenic ConvolutionalNeural Network, The 7th Conference on Applied Geometric Algebras in Computer Science and Engineering, 2018.
