Author
Di Wu
Other affiliations: National University of Ireland, Nanjing Forestry University, Huazhong Agricultural University ...read more
Bio: Di Wu is an academic researcher from Zhejiang University. The author has contributed to research in topics: Partial least squares regression & Medicine. The author has an hindex of 38, co-authored 238 publications receiving 5362 citations. Previous affiliations of Di Wu include National University of Ireland & Nanjing Forestry University.
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors reviewed the fundamentals and applications of computer vision for food colour measurement, and the advantages and disadvantages of using computer vision techniques for colour measurement are analyzed and its future trends are proposed.
Abstract: Colour is the first quality attribute of food evaluated by consumers, and is therefore an important component of food quality relevant to market acceptance. Rapid and objective measurement of food colour is required in quality control for the commercial grading of products. Computer vision is a promising technique currently investigated for food colour measurement, especially with the ability of providing a detailed characterization of colour uniformity at pixel-based level. This paper reviews the fundamentals and applications of computer vision for food colour measurement. Introduction of colour space and traditional colour measurements is also given. At last, advantages and disadvantages of computer vision for colour measurement are analyzed and its future trends are proposed.
477 citations
TL;DR: It is evident that hyperspectral imaging can automate a variety of routine inspection tasks and is anticipated that real-time food monitoring systems with this technique can be expected to meet the requirements of the modern industrial control and sorting systems in the near future.
Abstract: In recent years, hyperspectral imaging has gained a wide recognition as a non-destructive and fast quality and safety analysis and assessment method for a wide range of food products. As the second part of this review, applications in quality and safety determination for food products are presented to illustrate the capability of this technique in the food industry for classification and grading, defect and disease detection, distribution visualization of chemical attributes, and evaluations of overall quality of meat, fish, fruits, vegetables, and other food products. The state of the art of hyperspectral imaging for each of the categories was summarized in the aspects of the investigated quality and safety attributes, the used systems (wavelength range, acquisition mode), the data analysis methods (feature extraction, multivariate calibration, variables selection), and the performance (correlation, error, visualization). With its success in different applications of food quality and safety analysis and assessment, it is evident that hyperspectral imaging can automate a variety of routine inspection tasks. Industrial relevance It is anticipated that real-time food monitoring systems with this technique can be expected to meet the requirements of the modern industrial control and sorting systems in the near future.
461 citations
TL;DR: In this paper, Least-squares support vector machine (LS-SVM) was applied to build the protein prediction model based on spectral transmission rate. And the determination coefficient for prediction (R p 2 ) was 0.981 and root mean square error for prediction(RMSEP), while the prediction ability of SVM is better than that of partial least square.
198 citations
TL;DR: The research demonstrated that TS-HSI technique has a potential for rapid and non-destructive determination of bacterial spoilage in salmon flesh during the spoilage process and was considered to be the best for the TVC determination of salmon flesh.
188 citations
TL;DR: The ultrasound-assisted extraction process of phenolics including anthocyanins from wine lees was modeled and optimized by means of artificial neural network (ANN) and genetic algorithm (GA) and the results agreed with the predicted values.
176 citations
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01 Jan 2004
TL;DR: Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance and describes numerous important application areas such as image based rendering and digital libraries.
Abstract: From the Publisher:
The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.
3,627 citations
TL;DR: The objective is to provide a generic introduction to variable elimination which can be applied to a wide array of machine learning problems and focus on Filter, Wrapper and Embedded methods.
3,517 citations
01 Jan 2007
TL;DR: The terms "antioxidant", "oxidative stress" and "oxoidative damage" are widely used but rarely defined as discussed by the authors, and a brief review attempts to define them and to examine the ways in which oxidative stress and oxidative damage can affect cell behaviour both in vivo and in cell culture, using cancer as an example.
Abstract: The terms 'antioxidant', 'oxidative stress' and 'oxidative damage' are widely used but rarely defined. This brief review attempts to define them and to examine the ways in which oxidative stress and oxidative damage can affect cell behaviour both in vivo and in cell culture, using cancer as an example.
1,309 citations
01 Jan 2009
TL;DR: In this article, the effects of cross-fertilisation and self fertilization on the production of seeds are discussed. But the main difference between cross-and self-flowered plants is the height and weights of the crossed and self-flowering plants.
Abstract: 1. Introductory remarks 2. Convolvulacaea 2. Scrophulariaceae, Gesneriaceae, Labiatae, etc. 4. Cruciferae, Papaveraceae, Resedaceae, etc. 5. Geraniaceae, Leguminosae, Onagraceae, etc. 6. Solanaceae, Primulaceae, Polygoneae, etc. 7. Summary of the heights and weights of the crossed and self-fertilised plants 8. Difference between crossed and self-fertilised plants in constitutional vigour and in other respects 9. The effects of cross-fertilisation and self-fertilisation on the production of seeds 10. Means of fertilisation 11. The habits of insects in relation to the fertilisation of flowers 12. General results Index.
1,224 citations