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Finally, segmented image will be obtained through labeling the image by using methods of labeled image and using characteristic parameters for extracting feature. Lingwu long jujubes are important economical fruits in Ningxia.
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. To improve packing efficiency and reduce labor intensity, there is an increasing demand for automatic picking techniques.
The image segmentation problem in LPR is examined in two stages: license plate region detection and license plate character extraction from background.
Three different approaches for license plate detection in a scene are presented: region distance from eigenspace, border location by edge detection and the Hough transform, and text detection by spectral analysis.
A survey of the Markov Random Field (MRF) with four different implementation methods for its parameter estimation is provided.
In addition, a survey of swarm intelligence and a number of swarm based algorithms are presented.
I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.
This thesis presents color image segmentation as a vital step of image analysis in computer vision.
Existing approaches on image segmentation and feature extraction for Lingwu long jujubes have many disadvantages.
Although image recognition of fruits based on machine vision starts relatively late, it develops rapidly.