Study on the Recognition Method of Grape in Different Natural Environment
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Abstract:
This paper is mainly about how to recognize different color grapes in nature, The grape images that taken under a fine day of front lighting, back lighting and night conditions, A novel grape image segmentation method based on different color space was proposed. The maximum classes square error method and the histogram method were used to obtain the best threshold, to get the grape bunches contours images and to cut the complex background region apart. The minimum enclosing rectangle was drawn on account of the image contour of target grapes, the feature information of grape barycenter and the plucking positions were extracted by the Harris corner test. The results showed that the identification algorithm of grapes could accurately identify the grapes in the picture and reduce impacts of illumination intensity in a large extent, among which the recognition ratio of green grapes in front lighting, back lighting and night conditions were 93.3%、86.7% and 96.7%, while the recognition ratio of purple grapes were 90%、83.3% and 96.7%.
