The Key of Bulk Warehouse Grain Quantity Recognition

According to requests of bulk warehouse grain quantity recognition, we take the scene video as identified object to obtain the object’s boundary from the result of edge detection difference iterative analysis. By using region iterative threshold value of gradient operator fitted closely with identified target carries to execute the picture characteristic second-extract and then to carrying on rectangular benchmark judgment using the membership functions of fuzzy recognition, we adopt the Visual C realized this recognition algorithm. And the experimental results show that this recognition algorithm effectively enhances the anti-jamming, robustness and the recognition precision and effect.

[1]  Gérard G. Medioni,et al.  Detection of Intensity Changes with Subpixel Accuracy Using Laplacian-Gaussian Masks , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Julius T. Tou,et al.  Pattern Recognition Principles , 1974 .

[3]  Alan L. Yuille,et al.  A regularized solution to edge detection , 1985, J. Complex..

[4]  Xie Yuan-dan,et al.  Survey on Image Segmentation , 2002 .

[5]  Jiang Tian-zi,et al.  A Survey of Image Segmentation , 2004 .

[6]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

[7]  Jiri Matas,et al.  On Combining Classifiers , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Vladimir G. Kim,et al.  Rank algorithms for picture processing , 1986 .

[10]  R.M. McElhaney,et al.  Algorithms for graphics and image processing , 1983, Proceedings of the IEEE.

[11]  Haimin Wang,et al.  A Threshold and Region Growing Combined Method for Filament Disappearance Area Detection in Solar Images March 21 – 23 , 2001 The Johns Hopkins University Baltimore , Maryland , USA , 2001 .

[12]  D Marr,et al.  Theory of edge detection , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.