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Volume 83
Pages 1-258 (December 2023)
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Volume 82
Pages 1-204 (November 2023)
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Volume 81
Pages 1-188 (October 2023)
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Volume 80
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Volume 79
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Volume 78
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Volume 77
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Volume 76
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Volume 75
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Volume 74
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Volume 73
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Volume 72
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Volume 83
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Volumes 60-71 (2022)
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Volume 71
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Volume 70
Pages 1-106 (November 2022)
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Volume 69
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Volume 68
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Volume 67
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Volume 66
Pages 1-112 (July 2022)
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Volume 65
Pages 1-138 (June 2022)
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Volume 64
Pages 1-186 (May 2022)
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Volume 63
Pages 1-124 (April 2022)
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Volume 62
Pages 1-104 (March 2022)
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Volume 61
Pages 1-120 (February 2022)
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Volume 60
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Volume 71
- Volumes 54-59 (2021)
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- Volume 6 (2008)
- Volume 5 (2007)
- Volume 4 (2006)
- Volume 3 (2005)
- Volume 2 (2004)
- Volume 1 (2003)
Jian Wan, Cai Y. Ma, Xue Z. Wang *
Recent research has demonstrated that on-line video imaging is a very promising technique for monitoring crystallization processes. The bottleneck in applying the technique for real-time closed-loop control is considered as image analysis that needs to be robust, fast and able to handle varied image qualities due to temporal variations of operating conditions such as mixing and solid concentrations. Image analysis at high-solid concentrations turns out to be extremely challenging because crystals tend to overlap or attach to each other and the boundaries between the crystals are usually ambiguous. This paper presents an image segmentation algorithm that can effectively deal with images taken at high-solid concentrations. The method segments crystals attached to each other along the mostly related concave points on the contours of crystal blocks. The detailed procedure is introduced with application to crystallization of l-glutamic acid in a hot-stage reactor.
Crystallization; High-solid concentrations; Image processing; Multi-scale segmentation; Watershed segmentation; Crystal size distribution; L-glutamic acid