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Drying Technology
An International Journal
Volume 29, 2011 - Issue 12
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Original Articles

Application of Image Processing to Analyze Shrinkage and Shape Changes of Shrimp Batch during Drying

Soleiman Hosseinpour Department of Mechanical Engineering of Agricultural Machinery, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, University of Tehran, Karaj, IranCorrespondence[email protected]
,
Shahin Rafiee Department of Mechanical Engineering of Agricultural Machinery, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
&
Seyed Saeid Mohtasebi Department of Mechanical Engineering of Agricultural Machinery, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
Pages 1416-1438 | Published online: 29 Jul 2011

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Soleiman Hosseinpour & Alex Martynenko. (2023) An adaptive fuzzy logic controller for intelligent drying. Drying Technology 41:7, pages 1110-1132.
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Soleiman Hosseinpour & Alex Martynenko. (2022) Food quality evaluation in drying: Structuring of measurable food attributes into multi-dimensional fuzzy sets. Drying Technology 40:11, pages 2293-2307.
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Shasha Cheng, Wentao Su, Long Yuan & Mingqian Tan. (2021) Recent developments of drying techniques for aquatic products: With emphasis on drying process monitoring with innovative methods. Drying Technology 39:11, pages 1577-1594.
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Anthony Iheonye, Yvan Gariepy & Vijaya Raghavan. (2020) Computer vision for real-time monitoring of shrinkage for peas dried in a fluidized bed dryer. Drying Technology 38:1-2, pages 130-146.
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Qing Sun, Min Zhang & Arun S. Mujumdar. (2019) Recent developments of artificial intelligence in drying of fresh food: A review. Critical Reviews in Food Science and Nutrition 59:14, pages 2258-2275.
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Weipeng Zhang, Zhongli Pan, Hongwei Xiao, Zhian Zheng, Chang Chen & Zhenjiang Gao. (2018) Pulsed vacuum drying (PVD) technology improves drying efficiency and quality of Poria cubes. Drying Technology 36:8, pages 908-921.
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Chun-Won Kang, Lech Muszyński, Seung-Hun Hong & Ho-Yang Kang. (2016) Preliminary tests for the application of an optical measurement system for the development of a kiln-drying schedule. Drying Technology 34:4, pages 483-490.
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Athanasia M. Goula, Athanasios N. Chasekioglou & Harris N. Lazarides. (2015) Drying and Shrinkage Kinetics of Solid Waste of Olive Oil Processing. Drying Technology 33:14, pages 1728-1738.
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Wei Bai, Ling-Wei Kong, Ai-Guo Guo & Jun Li. (2015) Temporal Characteristics of Desiccation Cracking and Resistivity of Lateritic Soil in Drying Process. Drying Technology 33:8, pages 952-964.
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Soleiman Hosseinpour, Shahin Rafiee, Mortaza Aghbashlo & Seyed Saeid Mohtasebi. (2015) Computer Vision System (CVS) for In-Line Monitoring of Visual Texture Kinetics During Shrimp (Penaeus Spp.) Drying. Drying Technology 33:2, pages 238-254.
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K.V. Uday & D.N. Singh. (2013) Investigation on Cracking Characteristics of Fine-Grained Soils Under Varied Environmental Conditions. Drying Technology 31:11, pages 1255-1266.
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Gokhan Bingol, JohnS. Roberts, MuratO. Balaban & Y. Onur Devres. (2012) Effect of Dipping Temperature and Dipping Time on Drying Rate and Color Change of Grapes. Drying Technology 30:6, pages 597-606.
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Articles from other publishers (31)

Sercan Sabanci, Tuğçe Türkoğlu & Safiye Nur Dirim. (2023) Determination of shrinkage characteristics of pumpkin discs during convection, microwave, and combined drying using computer‐aided technique: Image processing application. Journal of Food Process Engineering 46:8.
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Mousumi Sabat, Nachiket Kotwaliwale & Pramod S. Shelake. (2023) Real-time determination of moisture content of potato slices during drying using long short-term memory from image morphometric parameters. Food and Bioproducts Processing 140, pages 132-143.
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Libin Tan, Yuejin Yuan, Zhe Zhao, Yingying Xu & Yueding Yuan. (2023) Insights in mechanism of drying shrinkage by pore-scale modeling of heat-moisture and stress-strain distribution for high-moisture porous media. International Journal of Thermal Sciences 188, pages 108226.
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Anthony C. Iheonye, Vijaya Raghavan, Frank P. Ferrie, Valérie Orsat & Yvan Gariepy. (2023) Monitoring Visual Properties of Food in Real Time During Food Drying. Food Engineering Reviews.
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Yongsheng Pei, Zhenfeng Li, Caijin Ling, Lebing Jiang, Xin Wu, Chunfang Song, Jing Li, Feihu Song & Wanxiu Xu. (2022) An improvement of far-infrared drying for ginger slices with computer vision and fuzzy logic control. Journal of Food Measurement and Characterization 16:5, pages 3815-3831.
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K. Prashob, D. S. Aniesrani Delfiya, S. Murali, P. V. Alfiya & Manoj P. Samuel. (2022) Drying of shrimp using hot air‐assisted continuous infrared drying system. Journal of Food Processing and Preservation 46:9.
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Ehsan Abedini, Hamed Hajebzadeh, Mohammad Ali Mirzai & Mostafa Zakeri. (2022) Modeling transport phenomena in the shrimp drying process. Solar Energy 241, pages 396-403.
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Mousumi Sabat, Nachiket Kotwaliwale & Saroj K. Giri. (2021) Thermography for performance evaluation of a compact, air disperser equipped hot air dryer. Journal of Food Process Engineering 44:9.
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Nalan GökoğluNalan Gökoğlu. 2021. Shellfish Processing and Preservation. Shellfish Processing and Preservation 7 127 .
Xiaolong Li, Yvan Llave, Mika Fukuoka & Noboru Sakai. (2020) Physicochemical changes in cooked prawn muscle with or without shell during water bath treatment: Effect of thermal protein denaturation. Journal of Food Process Engineering 43:10.
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Jing Li, Zhenfeng Li, Ning Wang, G. S. V. Raghavan, Yongsheng Pei, Chunfang Song & Guanyu Zhu. (2020) Novel Sensing Technologies During the Food Drying Process. Food Engineering Reviews 12:2, pages 121-148.
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Minh Phu Nguyen, Tu Thien Ngo & Thanh Danh Le. (2019) Experimental and numerical investigation of transport phenomena and kinetics for convective shrimp drying. Case Studies in Thermal Engineering 14, pages 100465.
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Somayeh Rezaei, Nasser Behroozi-Khazaei & Hosain Darvishi. (2019) Microwave power adjusting during potato slice drying process using machine vision. Computers and Electronics in Agriculture 160, pages 40-50.
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Yuejin Yuan, Libin Tan, Yingying Xu, Yueding Yuan & Jixian Dong. (2019) Numerical and experimental study on drying shrinkage-deformation of apple slices during process of heat-mass transfer. International Journal of Thermal Sciences 136, pages 539-548.
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Xiaolong Li, Yvan Llave, Weijie Mao, Mika Fukuoka & Noboru Sakai. (2018) Heat and mass transfer, shrinkage, and thermal protein denaturation of kuruma prawn (Marsupenaeus japonicas) during water bath treatment: A computational study with experimental validation. Journal of Food Engineering 238, pages 30-43.
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Daniel I Onwude, Norhashila Hashim, Khalina Abdan, Rimfiel Janius & Guangnan Chen. (2018) The potential of computer vision, optical backscattering parameters and artificial neural network modelling in monitoring the shrinkage of sweet potato ( Ipomoea batatas L.) during drying . Journal of the Science of Food and Agriculture 98:4, pages 1310-1324.
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Benedict Purschke, Henrik Brüggen, Rafaela Scheibelberger & Henry Jäger. (2017) Effect of pre-treatment and drying method on physico-chemical properties and dry fractionation behaviour of mealworm larvae (Tenebrio molitor L.). European Food Research and Technology 244:2, pages 269-280.
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Lyes Bennamoun & Jie Li. 2018. Natural and Artificial Flavoring Agents and Food Dyes. Natural and Artificial Flavoring Agents and Food Dyes 29 82 .
Alex Martynenko. (2017) Computer Vision for Real-Time Control in Drying. Food Engineering Reviews 9:2, pages 91-111.
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Mohammad Hossein Nadian, Mohammad Hossein Abbaspour-Fard, Alex Martynenko & Mahmood Reza Golzarian. (2017) An intelligent integrated control of hybrid hot air-infrared dryer based on fuzzy logic and computer vision system. Computers and Electronics in Agriculture 137, pages 138-149.
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Jie Li & Zuo-Qin Qian. (2016) The Application of Image Acquisition and Analysis Techniques to the Field of Drying. Food Engineering Reviews 9:1, pages 13-35.
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Nahid Aghilinategh, Shahin Rafiee, Soleiman Hosseinpour, Mahmoud Omid & Seyed Saeid Mohtasebi. (2016) Real-time color change monitoring of apple slices using image processing during intermittent microwave convective drying. Food Science and Technology International 22:7, pages 634-646.
Crossref
Mohammad Hossein Nadian, Shahin Rafiee & Mahmood Reza Golzarian. (2016) Real-time monitoring of color variations of apple slices and effects of pre-treatment and drying air temperature. Journal of Food Measurement and Characterization 10:3, pages 493-506.
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M.O. Balaban, E. Misimi & Z. Ayvaz. 2016. Computer Vision Technology for Food Quality Evaluation. Computer Vision Technology for Food Quality Evaluation 243 270 .
Mohammad Hossein Nadian, Shahin Rafiee, Mortaza Aghbashlo, Soleiman Hosseinpour & Seyed Saeid Mohtasebi. (2015) Continuous real-time monitoring and neural network modeling of apple slices color changes during hot air drying. Food and Bioproducts Processing 94, pages 263-274.
Crossref
Soleiman Hosseinpour, Shahin Rafiee, Mortaza Aghbashlo & Seyed Saeid Mohtasebi. (2014) A novel image processing approach for in-line monitoring of visual texture during shrimp drying. Journal of Food Engineering 143, pages 154-166.
Crossref
Mohammad Shahabi, Shahin Rafiee, Seyed Saeid Mohtasebi & Soleiman Hosseinpour. (2013) Image analysis and green tea color change kinetics during thin-layer drying. Food Science and Technology International 20:6, pages 465-476.
Crossref
Mortaza Aghbashlo, Soleiman Hosseinpour & Mahdi Ghasemi-Varnamkhasti. (2014) Computer vision technology for real-time food quality assurance during drying process. Trends in Food Science & Technology 39:1, pages 76-84.
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Jun-Hu Cheng & Da-Wen Sun. (2014) Hyperspectral imaging as an effective tool for quality analysis and control of fish and other seafoods: Current research and potential applications. Trends in Food Science & Technology 37:2, pages 78-91.
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Soleiman Hosseinpour, Shahin Rafiee, Seyed Saeid Mohtasebi & Mortaza Aghbashlo. (2013) Application of computer vision technique for on-line monitoring of shrimp color changes during drying. Journal of Food Engineering 115:1, pages 99-114.
Crossref
Juliana Gamboa. (2022) Qfoodscan: Computer Vision and Unsupervised Machine Learning Approach to Quality Monitoring During Drying. SSRN Electronic Journal.
Crossref

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