Intelligent Image Identification to Human Cells
Duan Jun, Zhao Yang, Jun Fang Ni · 2009
The paper presents an image processing, aiming at understanding and exploring the image identification technology for human cells. The paper reports several algorithm improvements in the processing including the Gauss-Laplace algorithm that makes image of human cells be identified effectively, and combination of texture match that using pixels statistics method makes several algorithms together. With the consideration of the precision of image recognition, we combine image texture characteristics with other image processing technology. The texture characteristics of human cells are considered as specific information to be added in the knowledge-based biological systems. The knowledge reasoning is introduced and knowledge storage is established using artificial intelligence process of identifying the human cells.