Method for identifying bunch-type fruit mother branch based on monocular camera and binocular camera
A binocular camera and camera technology, applied in character and pattern recognition, computer parts, instruments, etc., can solve the problems of inability to accurately find string-shaped fruit mother branches, fruit strings that are easy to grow in random distribution, and difficult to identify fruit strings.
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[0040] Such as Figure 1~2 As shown, taking lychee string fruit as an example, a method for identifying the mother branch of string fruit based on a monocular camera and a binocular camera is characterized in that:
[0041] S001, using a monocular CCD camera to randomly acquire multiple color images together with features such as string-shaped fruits, leaves and branches;
[0042] S002. Select and divide a plurality of fruit objects and non-fruit objects in the color image, and respectively extract texture feature values and color feature values of the fruit objects and non-fruit objects as positive and negative samples;
[0043] S003. Use the support vector machine SVM to train the positive and negative samples to generate multiple weak classifiers; then use the AdaBoost algorithm to construct a strong classifier, use the strong classifier to segment the color image obtained by the monocular CCD camera, and identify the The fruit target is stored separately as a color im...
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