Method of plant texture image recognition based on genetic programming
Meng Lamei, Yamin Li, Zhu Huan-rong · 2010
The genetic programming classifier's evolution and the classified speed is quick, the real-time performance is good, the classified recognition needs the domain knowledge to be very few, it is advantageous for the promoted use. This article carries on the imagery processing to the gathering plant bark image. It uses the Gray Level Co-occurrence Matrix technique description image the texture feature and carries on the recognition and classification using the genetic programming algorithm to the plant image. Through it carries on the classified experiment to many kinds of plant bark image, it indicats that this method is feasible, has the good classified precision.