Applicazione dell'analisi d'immagine nei prodotti da forno. Prove su plum cakes

The role of digital image analysis has been grown widely in different technological fields such as, space research, communications, remote sensation, medicine and in analysis, processing and quality assessment of food. The term image refers to a two-dimensional light intensity function, denote by f (x, y), when the value or amplitude of f at special coordinates (x, y) gives the intensity (brightness) of the image at that point. It possible consider a digital image as a matrix whose row and column indices identify a point in the image and the corresponding matrix element value identifies the gray level at the point. The elements of such a digital image array are called image elements, picture elements, pixels, or pels, with the last two names being commonly used as abbreviations of ¿picture elements¿. An expansion in image analysis applications occurring within agriculture and food industries with the result that image analysis can be used for characterization of food products. It is noteworthy that images are often studied for detecting or enhancing geometrical structures. Image analysis can be used in many aspects of food industry, analysis and quality assurance. For instance, image analysis can be used to discriminate cereal grains and classify cereal kernels according to their physical dimensions. Meanwhile, colour analysis of individual wheat grains might facilitate the identification of grains in the wheat-grading context. Bar coding represent an important application of image analysis. Bar coding is a form of artificial identifier. It is a machine readable code consisting of a pattern of black and whit bars and spaces defined ratios which represent alphanumerical character. A sensor scans the bar code symbol and coverts the visual image into an electrical signal. Interest in digital image processing methods stems from two principal application areas: improve of pictorial information for human interpretation and processing of scene data for autonomous machine perception. One of the first applications of image processing techniques in the first category was in improving digitized newspaper pictures sent by submarine cable between London and New York in the early 1920s. Over the last 15 years considerable progress has been made in applying digital image analysis technologies to solve quality issues in the food industry. The digital image analysis as a highly computerized technique, has many advantages for meeting these tasks compared to subjective visual inspection: it's quantitative, precise, accurate, objective and also a rapid technique. In addiction, the continuing acceleration of computing power permits the use of increasingly sophisticated algorithms to reduce the pictorial information within image readily admissible results.