With the advances in automated production

manual operation decreasing fast in the production line

and machine vision come into being.It has high speed

precision

long running time and other characteristics.For the detection of the wounds of the bottom of the battery

we are currently using manual inspection

which has low efficiency and precision.This paper presents a method to detect the wound of broken skin of the battery bottom.We binarize the picture of the battery

and then to use morphological process.Finally we draw conclusion by counting the number of connected regions.This method does not use complex spectral analysis

and use morphological methods to eliminate noise

to achieve the purpose of discriminating wounds.This method greatly reduces the amount of computation to improve determination efficiency.