Apple Sorting with Machine Vision

Quality parameters of mango and potential of non-destructive techniques for their measurement — a review

“…Damage and bruise detection is a crucial factor for quality evaluation. One of the fi rst approaches for bruise detection in apples was based on the use of interferential fi lters (Rehkugler and Throop 1986). Other studies treated blemishes together with colour estimation Delwiche 1989, Leemans et al 2002).…”

Citrus sorting by identification of the most common defects using multispectral computer vision

“…Unlike the human eye, machine vision is not limited to the visible (VIS) region of the electromagnetic spectrum and several studies have been carried out to inspect fruits using ultraviolet (UV) or near-infrared (NIR) radiation (Alchanatis, Peleg, & Ziv, 1993;Rehkugler & Throop, 1986). Results show that the combination of NIR and VIS can improve the identification of defects in fruits (Aleixos, Blasco, Navarró n, & Moltó , 2002;Steinmetz, Roger, Moltó , & Blasco, 1999).…”

Automated process planning and cost estimation under material quality uncertainty

“…With the progress in image processing technology, the gradation and classification techniques in food researched have developed. The tomato classification [79], automated strawberry grading system [80], real-time color grading of stone fruit [81], the detection of apple defection [82] based on image processing was implemented. Not only image processing techniques applied in food research, but also its applications are industry, medicine and some other areas.…”