Machine vision-based strawberry appearance quality judgment method

Abstract

The invention discloses a machine vision-based strawberry appearance quality judgment method. The method specifically comprises the following steps of 1: establishing a three-camera vision platform and then all-directionally acquiring strawberry RGB images in an industrial scene; 2: performing image segmentation by utilizing the acquired images in the step 1, then defining fruit regions of interest, and extracting strawberry fruit contours; 3: extracting shape feature vectors of strawberries by using a shape invariant feature extraction operator through utilizing the extracted strawberry fruit contours in the step 2, thereby overcoming the problems of different sizes, positions and orientations of the strawberries; and 4: training a support vector machine by utilizing the acquired sample images of strawberries in different shapes in the step 1 and the extracted feature vectors in the steps 2 and 3, and determining optimal parameters and classification accuracy of the support vector machine. The invention provides a strawberry appearance quality judgment method with the characteristics of high accuracy, robustness, real-time property and no damage for the problems of low manual identification efficiency, high mechanical damage rate and the like, and actual usage requirements are met.

Description

technical field [0001] The invention relates to a method for discriminating the appearance quality of strawberries based on machine vision, and belongs to the technical field of machine vision. Background technique [0002] Strawberry (scientific name: Fragaria×ananassa Duch.), perennial herb, 10-40 cm high; stems are lower than leaves or nearly equal; leaves three out, leaflets with short stalks, thicker, obovate or diamond-shaped, dark green on top, almost Glabrous, pale green below, sparsely hairy, denser along the veins; cyme, with a short-stalked leaflet under the inflorescence; flowers bisexual; sepals ovate, slightly longer than the epicalyx; petals white, nearly round or obverse Oval-shaped; aggregated fruit is large, persistent sepals are erect, close to the fruit; achene tip is ovate, smooth; flowering period is April-May, fruit period is June-July; native to South America, widely distributed in China and Europe Cultivated, strawberries have high nutritional value...

AI Technical Summary

Problems solved by technology

[0005] The present invention is aimed at the deficiencies in the prior art, and in view of the problems of low manual identification efficiency and high mechanical damage rate, it provides a high accuracy, robust, real-time and non-destructive method for judging the appearance quality of strawberries, which has better safety performance , which meets the practical requirements

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