Machine Vision Online Measurements

Design of fuzzy inference system for apple ripeness estimation using gradient method

“…In [2], the authors present a system for apple colour grading into four classes according to standards stipulated in China. Four images, one for every rotation of 90°, were taken from each apple.…”

“…Furthermore, this technology is ideally suited for agro‐products inspection and quality assurance due to the exponential advancement in data acquisition and storage techniques. Thus, the food industry is now ranked among the top ten industries using this technology [2].…”

“…Computer vision system assesses fruit maturity according to its external characteristics which are essentially colour, size, texture and shape. The strong correlation between crop colour and its maturity makes it widely used to evaluate maturity for various fruits and vegetables like apples [2], tomatoes [3], watermelons [4], bananas [5], mangoes [6], citrus [7] and dates [8]. This is due to the advantages presented by the colour feature like high efficiency, ease in extraction of the colour information from images, size and orientation independent, powerful in representing visual content of images, robust to background complications and powerful in separating images from each other [9].…”