Quality Evaluation and Control of Potato Chips and French Fries

Franco Pedreschi1, Domingo Mery2 and Thierry Marique3 1Universidad de Santiago de Chile, Departamento de Ciencia y Tecnologia de Alimentos, Av. Ecuador 3769, Santiago de Chile, Chile 2Pontificia Universidad Catolica de Chile, Departamento de Ciencia de la Computacion, Av. Vicuna Mackenna 4860 (143), Santiago de Chile, Chile 3Centre pour l’Agronomie et l’Agro-Industrie de la Province de Hainaut (CARAH), 11 rue P. Pastur, 7800 Ath, Belgium

[1]  M. G. Scanlon,et al.  Computerized video image analysis to quantify color of potato chips , 1994, American Potato Journal.

[2]  Da-Wen Sun,et al.  Recent developments in the applications of image processing techniques for food quality evaluation , 2004 .

[3]  Da-Wen Sun,et al.  Computer vision––an objective, rapid and non-contact quality evaluation tool for the food industry , 2004 .

[4]  M. Chantler Why illuminant direction is fundamental to texture analysis , 2022 .

[5]  J. Clark,et al.  Happy Birthday, Potato Chip! And Other Snack Developments , 2003 .

[6]  Jean Ponce,et al.  Computer Vision: A Modern Approach , 2002 .

[7]  Kit L. Yam,et al.  A versatile and inexpensive technique for measuring color of foods , 2000 .

[8]  David A. Landgrebe,et al.  A survey of decision tree classifier methodology , 1991, IEEE Trans. Syst. Man Cybern..

[9]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[10]  Milan Sonka,et al.  Image Processing, Analysis and Machine Vision , 1993, Springer US.

[11]  Ralph Roskies,et al.  Fourier Descriptors for Plane Closed Curves , 1972, IEEE Transactions on Computers.

[12]  Domingo Mery Crossing Line Profile: A New Approach to Detecting Defects in Aluminium Die Castings , 2003, SCIA.

[13]  Gauri S. Mittal,et al.  Use of artificial neural network to predict temperature, moisture, and fat in slab-shaped foods with edible coatings during deep-fat frying , 2000 .

[14]  A. Roli Artificial Neural Networks , 2012, Lecture Notes in Computer Science.

[15]  Franco Pedreschi,et al.  Color changes and acrylamide formation in fried potato slices , 2005 .

[16]  J. Aguilera,et al.  Oil Absorption During Frying of Frozen Parfried Potatoes , 2000 .

[17]  D. Mery,et al.  Color measurement in L ¿ a ¿ b ¿ units from RGB digital images , 2006 .

[18]  F. Mendoza,et al.  Classification of Potato Chips Using Pattern Recognition , 2006 .

[19]  Da-Wen Sun,et al.  Improving quality inspection of food products by computer vision: a review , 2004 .

[20]  Andrew W. Fitzgibbon,et al.  Direct Least Square Fitting of Ellipses , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[21]  F. Gòdia,et al.  A general artificial neural network for the modelization of culture kinetics of different CHO strains , 2001, Cytotechnology.

[22]  Christopher A. Brown,et al.  CHARACTERIZATION OF FOOD SURFACES USING SCALE‐SENSITIVE FRACTAL ANALYSIS , 2000 .

[23]  M Peleg,et al.  Fractals and foods. , 1993, Critical reviews in food science and nutrition.

[24]  R. Moreira,et al.  Vacuum frying of potato chips , 2002 .

[25]  Chun-Chieh Yang,et al.  Development of neural networks for weed recognition in corn fields , 2002 .

[26]  Domingo Mery,et al.  Pattern recognition in the automatic inspection of aluminium castings , 2003 .

[27]  F. Escher,et al.  Mass and heat transfer during deep-fat frying of potato slices —I. Rate of drying and oil uptake , 1995 .

[28]  I. Saguy,et al.  Fractal analysis and crust water diffusivity of a restructured potato product during deep-fat frying , 1997 .

[29]  Domingo Mery,et al.  Development of a computer vision system to measure the color of potato chips , 2006 .

[30]  D. L. Pyle,et al.  Structure oil-absorption relationships during deep-fat frying , 2003 .

[31]  Per-Erik Danielson A new shape factor , 1978 .

[32]  T. Marique,et al.  Modeling of Fried Potato Chips Color Classification using Image Analysis and Artificial Neural Network , 2003 .

[33]  Eugenios Katsanidis,et al.  Impact of physical and chemical pretreatments on texture of Octopus (Eledone moschata) , 2006 .

[34]  T. Marique,et al.  Image Segmentation and Bruise Identification on Potatoes Using a Kohonen's Self-Organizing Map , 2005 .

[35]  Anil K. Jain,et al.  Statistical Pattern Recognition: A Review , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[36]  José Miguel Aguilera,et al.  Description of food surfaces and microstructural changes using fractal image texture analysis , 2002 .

[37]  Dieter Filbert,et al.  CLASSIFICATION OF POTENTIAL DEFECTS IN THE AUTOMATIC INSPECTION OF ALUMINIUM CASTINGS USING STATISTICAL PATTERN RECOGNITION , 2002 .

[38]  M. Añón,et al.  Influence of Reducing Sugars and Amino Acids in the Color Development of Fried Potatoes , 1986 .

[39]  Da-Wen Sun,et al.  Inspecting pizza topping percentage and distribution by a computer vision method , 2000 .

[40]  Dogan Yuksel,et al.  Using artificial neural networks to develop prediction models for sensory-instrumental relationships; an overview , 1997 .

[41]  G. Lisinska,et al.  Potato Science and Technology , 1989 .

[42]  B. Wedzicha,et al.  Food chemistry: Acrylamide is formed in the Maillard reaction , 2002, Nature.

[43]  F. Escher,et al.  Dynamics of oil uptake during deep-fat frying of potato slices , 1996 .

[44]  K. Hellenäs,et al.  Analysis of acrylamide in cooked foods by liquid chromatography tandem mass spectrometry. , 2002, The Analyst.

[45]  Da-Wen Sun,et al.  Recent developments and applications of image features for food quality evaluation and inspection – a review , 2006 .

[46]  Petr Dejmek,et al.  A Low Cost Video Technique for Colour Measurement of Potato Chips , 1999 .

[47]  D. Mery,et al.  Segmentation of colour food images using a robust algorithm , 2005 .