Image Processing on Orange Industry, a Brief Review
The huge expectation of population for food products, mainly fruits require quality products. The need for accurate, fast and objective determination of these characteristics on food products continues to grow. Normally, classification of the oranges industrially produced is made visually and manually, considering the color pattern, which requires a lot of labor and can be inappropriate and has an elevate cost, machine vision provides one alternative for an automated, non-destructive and cost-effective technique to accomplish these requirements. Researches focused on the development of this task has been tried to find ways to automatize this process. However, part of this development happens in many areas, commercially and industrially. This work aims to present the progress of image processing on industry and mainly on classification of oranges.