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Crop image recognition based on ComVI and double threshold OTSU algorithm |
Gong Lixiong |
School of Mechanical Engineering, Chongqing University of Technology, Chongqing 400054, China |
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Abstract A new recognition method of crop image with soil and other noise was proposed, which was used by combined vegetative indices(ComVI)and double threshold OTSU algorithm. The method has three stages of image processing according to unmasked and masked crops image characters. Firstly, the gray-scale image was adopted with combined vegetative indices, then the binaryzation and image segmentation were processed by way of double threshold OTSU adaptive method, and finally, post-treatment to the segmented binary images by morphology operation was also implemented. Therefore, crops and coil were recognized by superimposing the segmentation image in the three stages. Experimental results shows that it is a high performance algorithm which can overcome drawbacks of traditio-nal gray-scale image and threshold iterative method, and can effectively extract and recognize transitional edge image. The image recognition accuracy is more than 92.7%. Finally, crop image recognition system was designed to achieve the image recognition of the visualization and automation by Visual Basic 2010 and Matlab 2012 software.
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Received: 03 January 2013
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