- author = "Lamei Meng and Yamin Li and Huanrong Zhu",
- title = "Method of plant texture image recognition based on genetic programming",
- booktitle = "2010 International Conference on Computer Design and Applications (ICCDA)",
- year = "2010",
- month = "25-27 " # jun,
- volume = "1",
- pages = "V1--370--V1--373",
- abstract = "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 indicates that this method is feasible, has the good classified precision.",
- keywords = "genetic algorithms, genetic programming, classifier evolution, gray level co-occurrence matrix technique, imagery processing, plant bark image, plant texture image recognition, biology computing, botany, image classification, image colour analysis, image texture, matrix algebra",
-
DOI = "
doi:10.1109/ICCDA.2010.5540845",
-
notes = "tree bark
Coll. of Mech. & Electr. Eng., Agric. Univ. of Hebei, Baoding, China. Also known as \cite{5540845}",
