Image processing techniques have been applied increasingly for food quality evaluation in recent years. Recently advances in image processing techniques for food quality evaluation, which include charge coupled device camera, ultrasound, magnetic resonance imaging, computed tomography, and electrical tomography for image acquisition; pixel and local pre-processing approaches for image pre-processing; thresholding-based, gradient-based, region-based, and classification-based methods for image segmentation; size, shape, color, and texture features for object measurement; and statistical, fuzzy logic, and neural network methods for classification.