Abstract: The structure of foods, both natural and processed ones, is controlled by many variables ranging from biology
to chemistry and mechanical forces. The structure also controls many of the properties of the food, including consumer
acceptance, taste, mouthfeel, appearance, and so on, and nutrition. Imaging provides an important tool for measuring
the structure of foods. This includes 2-dimensional (2D) images of surfaces and sections, for example, viewed in a
microscope, as well as 3-dimensional (3D) images of internal structure as may be produced by confocal microscopy,
or computed tomography and magnetic resonance imaging. The use of images also guides robotics for harvesting and
sorting. Processing of images may be needed to calibrate colors, reduce noise, enhance detail, and delineate structure
and dimensions. Measurement of structural information such as volume fraction and internal surface areas, as well as the
analysis of object size, location, and shape in both 2- and 3-dimensional images is illustrated and described, with primary
references and examples from a wide range of applications.
Keywords: image processing, image analysis, stereology