关键词: 机器视觉, 图像处理, 八角, 颜色识别, 果形识别

Abstract: In order to improve the octagonal appearance detection accuracy and efficiency, machine vision technology was used to recognize and process different fruit shapes and colors of star anise. In RGB and HSI color space, according to the difference of brown-red, black-red and Maroon in H color space, the H component values of different colors of star anise were extracted, and the recognition ratios were 95.12%, 95.12% and 97.56%, respectively. The polar coordinate model was established by using the idea of polar coordinate transformation. By dislocations subtraction, normalization and angle number discrimination of the polar coordinate model, the angle number of the octagon was effectively identified, and the recognition proportion was 94.73%. On the basis of angle number recognition, the discrimination of short and thick octagonal lobe and long and thin octagonal lobe was realized by the law of cosine, and the recognition proportion was 94.29% and 97.14%, respectively. The short and thick octagonal lobe and long and thin octagonal lobe were identified by Fourier transform of the contour after polar coordinate transformation, and the recognition ratio was 94.29% and 94.29%, respectively. Through the standard deviation analysis of the peak point of anise wave, the uniformity of anise wave was effectively identified. The recognition rate of the above method is high and accurate, which provided a theoretical basis and prospect for the appearance detection technology of star anise.

Key words: machine vision, image processing, star anise, color recognition, shape identification