| 1 - 2 |
Computer vision - An objective, rapid and non-contact quality evaluation tool for the food industry
Sun DW |
| 3 - 16 |
Improving quality inspection of food products by computer vision - a review
Brosnan T, Sun DW |
| 17 - 26 |
Segmentation of complex food images by stick growing and merging algorithm
Sun DW, Du CJ |
| 27 - 35 |
Meat quality evaluation by computer vision
Tan JL |
| 37 - 45 |
Image processing algorithm for cheese shred evaluation
Ni HX, Guansekaran S |
| 47 - 55 |
Evaluation of the oiling off property of cheese with computer vision: Correlation with fat ring test
Wang HH, Sun DW |
| 57 - 66 |
Evaluation of the oiling off property of cheese with computer vision: Influence of cooking conditions and sample dimensions
Wang HH, Sun DW |
| 67 - 81 |
Development of hyperspectral imaging technique for the detection of apple surface defects and contaminations
Mehl PM, Chen YR, Kim MS, Chan DE |
| 83 - 89 |
A real-time grading method of apples based on features extracted from defects
Leemans V, Destain MF |
| 91 - 100 |
Prediction of sensory texture quality attributes of cooked potatoes by NMR-imaging (MRI) of raw potatoes in combination with different image analysis methods
Thybo AK, Szczypinski PM, Karlsson AH, Donstrup S, Stodkilde-Jorgensen HS, Andersen HJ |
| 101 - 107 |
Comparison of three algorithms in the classification of table olives by means of computer vision
Diaz R, Gil L, Serrano C, Blasco M, Molto E, Blasco J |
| 109 - 117 |
Developments in the use of image analysis for the assessment of oriental noodle appearance and colour
Hatcher DW, Symons SJ, Manivannan U |
| 119 - 124 |
Novel application of computer vision to determine bubble size distributions in beer
Hepworth NJ, Hammond JRM, Varley J |
| 125 - 135 |
The applications of computer vision system and tomographic radar imaging for assessing physical properties of food
Abdullah MZ, Guan LC, Lim KC, Karim AA |
| 137 - 142 |
A simple digital imaging method for measuring and analyzing color of food surfaces
Yam KL, Papadakis SE |
