Abstract
This paper researches on methods of the color image segmentation method of Lingwu long jujubes based on the maximum entropy to achieve the accuracy of image segmentation and improve accuracy of machine recognition. According to law between the color of Lingwu long jujubes and characteristic of environment, starting from the hue information, this paper is first to explore the difference between the hue of Lingwu long jujubes and the environment which it lives and then use maximum entropy to segment image. It finds optimal threshold by mathematical criterion judging the accuracy of image segmentation. The method of pre-processing of image is mean filter firstly. Then, it extracts hue information of true color image and uses maximum entropy for image segmentation, judging accuracy of image segmentation by segmentation area whether it is in accordance with the 3σ principle. Mathematical morphology is used for smoothing image and eliminating small holes. Finally, segmented image will be obtained through labeling the image by using methods of labeled image and using characteristic parameters for extracting feature. By comparing the segmentation effect with artificial method of the 30 Lingwu long jujubes images, it proves that the color image segmentation method of Lingwu long jujubes based on the maximum entropy has good effect to extract the object region. The accuracy of segmentation rate is up to 89.60%. The time that the algorithm run is 1.3132 s.
Highlights
Lingwu long jujubes are important economical fruits in Ningxia
According to actual picking environment of Lingwu long jujubes, this paper finds the rules between hue of Lingwu long jujubes and the surrounding environment and extracts hue information of true color image
5 Discussion and conclusions In this paper, the feature of Lingwu long jujubes can be extracted well, but the dependence of feature extraction is large: 1. The feature extraction depends on the red range of the image and not consider the blue part of the date
Summary
Lingwu long jujubes are important economical fruits in Ningxia. To improve packing efficiency and reduce labor intensity, there is an increasing demand for automatic picking techniques. The identification of fruits plays a key role in automatic packing. Canada, and Finland research image segmentation algorithms based on machine vision [1,2,3,4,5,6,7]. No algorithm is aimed at Lingwu long jujubes. Existing approaches on image segmentation and feature extraction for Lingwu long jujubes have many disadvantages. Image recognition of fruits based on machine vision starts relatively late, it develops rapidly. Aiming at disadvantages of the image after segmentation, mathematical morphology, labeling, and future selection are used for post processing to extract accurate target feature
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