Biologic Visual Model for Inspection of Solar Cell Crack
Solar energy as a kind of promising new energy,inspection of solar cell crack has important practical and productive significance in solar cell manufacturing industry.The hardware methods are inefficient in the past,and easily damaged solar cells.But software methods in the past mainly through the classical image processing methods for detection,and have the general effect in complex background.We propose an improved method of biological vision model,by simulating the working principle of the ventral visual pathway of T.Serre standard model of biological vision,and using Tomoyuki the Percolation-Based Image Processing to guide the selection of feature template.Through the detection experiments and comparative test on a series of collected solar cell images,demonstrated the effectiveness of our method.