A Point-pattern Matching Method of the Seed Images Based on the Genetic Algorithm
基于遗传算法的种子图象目标点模式匹配

After the image coordinates of seed objects are computing and camera system composed of the single camera and a mirror are calibrated, searching corresponding points of seed centroids in the single-frame image is a key technique. In this paper, considering the distributing traits of the seeds in the single-frame image and the characteristics of genetic algorithm such as simple, current, robust and so on, a point-pattern matching method of the seed objects in the image based on the genetic algorithm is proposed. Firstly, by the fuzzy clustering method, the image points of seeds are distinguished to two groups, and then the genetic mechanism is established between the two point groups in the image, and the corresponding points are searched in the single-frame image. The experiments show this method can search corresponding points between two point groups of objects very fast and correctly, it is good for calculating the seed position in the space.