Slanting degree calculation of storage grain insect’s image based on Zernike moment

Automatic recognition for storage grain insects outside grain kernels has been a hotspot of research interests in the field of storage grain insects. Because some dimensionless characteristics in image of storage grain insects lost rotation invariance, the slanting degree of the storage grain insect’s image must be computed in order to construct the optimal knowledge base suitable for classification. The theory of computing slanting degree of image based on Zernike moment has been analyzed. Because Zernike moment is rotationally invariant, the method based on Zernike moment was introduced, which computes the slanting degree of the stored-grain insect’s image that does not have obvious linear characteristic. The experiment shows that the method can measure the slanting degree of the storage grain Insects image well with high accuracy. The method is insensitive to noise owing to Zernike moment’s good anti-noise interference capability. The method is also applied in others image which does not have linear characteristic.