Subject Areas :
مسعود خزائی فدافن 1 , ناصر مهرشاد 2 , محمد رضوی 3
1 - گروه الکترونیک ، دانشکده مهندسی برق و کامپیوتر ، دانشگاه بیرجند ، بیرجند ، ایران
2 - گروه الکترونیک ،دانشکده مهندسی برق و کامپیوتر ، دانشگاه بیرجند،بیرجند ، ایران
3 - گروه الکترونیک ، دانشکده مهندسی برق و کامپیوتر ، دانشگاه بیرجند ، بیرجند ، ایران
Keywords:
Abstract :
1.Khojastehkey, M., Lotfollahian, H., Kalantar Neyestanaki, M. Weight estimation, shape index determination and shell contamination
detection of hen egg using machine vision methods. Livestock Research. 2016;5(2):17-24.
2. Wang Q, Deng X, Ren Y, Ding Y, Xiong L, Wen Y, et al. Egg freshness detection based on digital image technology. Scientific Research and Essays. 2009;4(10):1073-9.
3. Lunadei, L., Ruiz-Garcia, L., Bodria, L., Guidetti, R. Automatic identification of defects on eggshell through a multispectral vision system. Food and Bioprocess Technology. 2012;5(8):3042-50.
4. García-Alegre, MC., Ribeiro, A., Guinea, D., Cristóbal, G., editors. Color index analysis for automatic detection of eggshell defects. Proc SPIE; 2000.
5. Sadrnia, H., Rajabipour, A., Jafary, A., Javadi, A., Mostofi, Y. Classification and analysis of fruit shapes in long type watermelon using image processing. Int J Agric Biol. 2007;1:68-70.
6. Al-Hiary, H., Bani-Ahmad, S., Reyalat, M., Braik, M., ALRahamneh, Z. Fast and accurate detection and classification of plant diseases. Machine learning. 2011;14(5).
7. Bhuvaneshwari, M., Scholar, P. Improvement in detection of chicken egg fertility using image processing techniques. International Journal on Engineering Technology and Sciences. 2015;2(4):64-7.
8. Ibrahim, R., Zin, ZM ,. Nadzri, N., Shamsudin, M., Zainudin, M., editors. Egg’s grade classification and dirt inspection using image processing techniques. Proceedings of the World Congress on Engineering; 2012.
9. dosty irani, M., golzarian, M. Design and evaluation of an image processing algorithm for estimation of steaks’ fat content. 2015.
10. Kapare Avinash, A., Mahangare Tushar, T., Pawar Nitesh, D., Patane Yogesh, B. Egg Freshness Detection Based On Digital Image
Processing. 2017;4(2).
11. Mohana, S., Prabhakar, C., Praveen Kumar, P, editors. Surface Defect Detection and Grading of Apples. Proc of Int Conf on Multimedia Processing, Communication& Info Tech, MPCIT; 2013.
12. Al-Marakeby, A., Aly, AA., Salem, FA. Fast quality inspection of food products using computer vision. Int J Adv Res Comput Commun Eng. 2013;2(11):4168-71.
13. Jin, J., Li, J., Liao, G., Yu, X., Viray, LCC, editors. 3. Methodology for potatoes defects detection with computer vision. International symposium on information processing; 2009.
14. Chaji, N., Ghassemian, H. Texture-gradient-based contour detection. EURASIP Journal on Applied Signal Processing. 2006;2006:5-.
15. Grigorescu, C., Petkov, N., Westenberg MA. Contour detection based on nonclassical receptive field inhibition. IEEE Transactions on Image Processing. 2003;12(7):729-39.
16. Grigorescu, SE., Petkov, N., Kruizinga, P. Comparison of texture features based on Gabor filters. IEEE Transactions on Image processing. 2002;11(10):1160-7.
17. Itti, L., Koch, C., Niebur, E. A model of saliency- based visual attention for rapid scene analysis. IEEE Transactions on pattern analysis and machine intelligence. 1998;20(11):1254-9.
18. Achanta, R., Hemami, S., Estrada, F, Susstrunk S, editors. Frequency-tuned salient region detection. Computer vision and pattern recognition, 2009 cvpr 2009 ieee conference on 2009 IEEE.19. Hou X, Zhang L, editors. Saliency detection: A spectral residual approach. Computer Vision and Pattern Recognition, 2007 CVPR'07 IEEE Conference on; 2007: IEEE.
20. Zhang, L., Gu, Z., Li, H., editors. SDSP: A novel saliency detection method by combining
simple priors. Image Processing (ICIP), 2013: 20thIEEE International Conference on: 2013 :IEEE
.