Abstract
Detection of green apples in natural scenes based on saliency theory and Gaussian curve fitting
Highlights
It is an important issue to apply machine vision technology in automatic apple target recognition
Because apples are always green before harvest and green apple varieties are promoting, such as the Australian Green Apple and Green Delicious Apple, the green fruit target recognition has received extensive attention of researchers
Many experts and their research teams focused on color combined with texture feature method[1], clustering algorithm[2,3], neural network algorithm[4], clustering algorithm combined with neural network method[5], clustering algorithm combined with homomorphic filtering method[6], evolutionary algorithm[7] and tried to solve the fruit image segmentation problems
Summary
It is an important issue to apply machine vision technology in automatic apple target recognition. It can be applied in the precision agriculture research fields for production estimation and growth condition monitoring. Many experts and their research teams focused on color combined with texture feature method[1], clustering algorithm[2,3], neural network algorithm[4], clustering algorithm combined with neural network method[5], clustering algorithm combined with homomorphic filtering method[6], evolutionary algorithm[7] and tried to solve the fruit image segmentation problems. Segmentation problem of green fruit images with complex background cannot be alleviated by these methods
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