Hyperspectral Imaging Analysis and Applications for Food Quality [Hardcover]

In processing food, hyperspectral imaging, combined with intelligent software, enables digital sorters (or optical sorters) to identify and remove defects and foreign material that are invisible to traditional camera and laser sorters. Hyperspectral Imaging Analysis and Applications for Food Quality explores the theoretical and practical issues associated with the development, analysis, and application of essential image processing algorithms in order to exploit hyperspectral imaging for food quality evaluations. It outlines strategies and essential image processing routines that are necessary for making the appropriate decision during detection, classification, identification, quantification, and/or prediction processes.

• Covers practical issues associated with the development, analysis, and application of essential image processing for food quality applications

• Surveys the breadth of different image processing approaches adopted over the years in attempting to implement hyperspectral imaging for food quality monitoring

• Explains the working principles of hyperspectral systems as well as the basic concept and structure of hyperspectral data

• Describes the different approaches used during image acquisition, data collection, and visualization

The book is divided into three sections. Section I discusses the fundamentals of l£.