Image Segmentation Techniques

Computer Vision Technology for Food Quality Evaluation

Volumn , Issue , 2008, Pages 37-56

  Zheng, Chaoxin ^a   Sun, Da Wen ^a  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84857654265     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-012373642-0.50005-3     Document Type: Chapter

References (40)

1. Abutaleb AS Automatic thresholding of grey-level pictures using two-dimensional entropies. Pattern Recognition 1989, 47(1):22-32.
2. Amadasun M, King R Textural features corresponding to textural properties. IEEE Transactions on Systems, Man, and Cybernetics 1989, 19(5):1264-1274.
3. Bhanu B, Lee S, Ming J Adaptive image segmentation using a genetic algorithm. IEEE Transactions on Systems, Man, and Cybernetics 1995, 25(12):1543-1567.
4. Blasco J, Aleixos N, Moltó E Machine vision system for automatic quality grading of fruit. Biosystems Engineering 2003, 85(4):415-423.
5. Canny J A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 1986, 8(6):679-698.
6. Casasent D, Talukder A, Keagy P, Schatzki T Detection and segmentation of items in X-ray imagery. Transactions of the ASAE 2001, 44(2):337-345.
7. Chtioui Y, Panigrahi S, Backer LF Self-organizing map combined with a fuzzy clustering for color image segmentation. Transactions of the ASAE 2003, 46(3):831-838.
8. Du C-J, Sun D-W Shape extraction and classification of pizza base using computer vision. Journal of Food Engineering 2004, 64(4):489-496.
9. Du C-J, Sun D-W Automatic measurement of pores and porosity in pork ham and their correlations with processing time, water content and texture. Meat Science 2006, 72(2):294-302.
10. Du C-J, Sun D-W Estimating the surface area and volume of ellipsoidal ham using computer vision. Journal of Food Engineering 2006, 73(3):260-268.
11. Du C-J, Sun D-W Learning techniques used in computer vision for food quality evaluation: a review. Journal of Food Engineering 2006, 72(1):39-55.
12. Faucitano L, Huff P, Teuscher F, Cariepy C, Wegner J Application of computer image analysis to measure pork marbling characteristics. Meat Science 2005, 69(3):537-543.
13. Gauch JM Investigations of image contrast space defined by variations on histogram equalization. CVGIP: Graphical Models and Image Processing 1992, 54(4):269-280.
14. Hatem I, Tan J Cartilage and bone segmentation in vertebra images. Transactions of the ASAE 2003, 46(5):1429-1434.
15. Hwang H, Park B, Nguyen M, Chen Y-R Hybrid image processing for robust extraction of lean tissue on beef cut surface. Computers and Electronics in Agriculture 1997, 17(3):281-294.
16. Jain AK Fundamentals of Digital Image Processing 1989, Prentice-Hall, Englewood Cliffs.
17. Kapur JN, Saho PK, Wong AKC A new method for gray level picture thresholding using the entropy of the histogram. Computer Vision, Graphics, and Image Processing 1985, 29:273-285.
18. Kass M, Witkin A, Terzoulos D Snake: active contour models. International Journal of Computer Vision 1988, 1(4):321-331.
19. Kittler J, Illingworth J On threshold selection using clustering criteria. IEEE Transactions on Systems, Man, and Cybernetics 1985, 15(5):652-665.
20. Kittler J, Illingworth J Minimum error thresholding. Pattern Recognition 1986, 19(1):41-47.
21. Kleynen O, Leemans V, Destain M-F Development of a multi-spectral vision system for the detection of defects on apples. Journal of Food Engineering 2005, 69(1):41-49.
22. Leemans V, Magein H, Destein M-F Defect segmentation of 'Jonagold' apples using color vision and a Bayesian classification method. Computers and Electronics in Agriculture 1999, 23(1):43-53.
23. Marique T, Pennincx S, Kharoubi A Image segmentation and bruise identification on potatoes using a Kohonen's self-organizing map. Journal of Food Science 2005, 70(7):E415-E417.
24. Marr D, Hildreth E Theory of edge detection. Proceedings of the Royal Society of London B 1980, 207:187-217.
25. Navon E, Miller O, Averbuch A Image segmentation based on adaptive local thresholds. Image and Vision Computing 2005, 23(1):69-85.
26. Otsu N A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man, and Cybernetics 1979, 9(1):62-66.
27. Pun T A new method for gray-level picture thresholding using the entropy of the histogram. Signal Processing 1980, 2(3):223-237.
28. Read W Comments on two papers in pattern recognition. IEEE Transactions on System, Man, and Cybernetics 1982, 12:429-430.
29. Ridler TW, Calvard S Picture thresholding using an iterative selection method. IEEE Transactions on Systems, Man, and Cybernetics 1978, 8(8):630-632.
30. Russ JC The Image Processing Handbook 1999, CRC Press, Boca Raton. 3rd edn.
31. Sahoo P, Wilkins C, Yeager J Threshold selection using Renyi's entropy. Pattern Recognition 1997, 30(1):71-84.
32. Subbiah J, Ray N, Kranzler GA, Acton ST Computer vision segmentation of the longissimus dorsi for beef quality grading. Transactions of the ASAE 2004, 47(4):1261-1268.
33. Sun D-W Inspecting pizza topping percentage and distribution by a computer vision method. Journal of Food Engineering 2000, 44(4):245-249.
34. Sun D-W, Du C-J Segmentation of complex food images by stick growing and merging algorithm. Journal of Food Engineering 2004, 61(1):17-26.
35. Tobias OJ, Seara R Image segmentation by histogram thresholding using fuzzy sets. IEEE Transactions on Image Processing 2002, 11(12):1457-1465.
36. Tsai WH Moment-preserving thresholding: a new approach. Computer Vision, Graphics, and Image Processing 1985, 29(3):377-393.
37. Vincent L, Soille P Watersheds in digital spaces: an efficient algorithm based on immersion simulations. IEEE Transactions on Pattern Analysis and Machine Intelligence 1991, 13(6):583-598.
38. Wang Y-C, Chou J-J Automatic segmentation of touching rice kernels with an active contour model. Transactions of the ASAE 1996, 47(5):1803-1811.
39. Xu C, Prince JL Snakes, shapes, and gradient vector flow. IEEE Transactions on Image Processing 1998, 7(3):359-363.
40. Zheng C, Sun D-W, Zheng L Recent applications of image texture for evaluation of food qualities-a review. Trends in Food Science & Technology 2006, 17(3):113-128.