3CCD image segmentation and edge detection based on MATLAB

Yong He; Jiazhi Pan; Yun Zhang

doi:10.1117/12.710895

27 October 2006 3CCD image segmentation and edge detection based on MATLAB

Yong He, Jiazhi Pan, Yun Zhang

Proceedings Volume 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine; 60471R (2006) https://doi.org/10.1117/12.710895
Event: Fourth International Conference on Photonics and Imaging in Biology and Medicine, 2005, Tianjin, China

Abstract

This research aimed to identify weeds from crops in early stage in the field operation by using image-processing technology. As 3CCD images offer greater binary value difference between weed and crop section than ordinary digital images taken by common cameras. It has 3 channels (green, red, ifred) which takes a snap-photo of the same area, and the three images can be composed into one image, which facilitates the segmentation of different areas. By the application of image-processing toolkit on MATLAB, the different areas in the image can be segmented clearly. As edge detection technique is the first and very important step in image processing, The different result of different processing method was compared. Especially, by using the wavelet packet transform toolkit on MATLAB, An image was preprocessed and then the edge was extracted, and getting more clearly cut image of edge. The segmentation methods include operations as erosion, dilation and other algorithms to preprocess the images. It is of great importance to segment different areas in digital images in field real time, so as to be applied in precision farming, to saving energy and herbicide and many other materials. At present time Large scale software as MATLAB on PC was used, but the computation can be reduced and integrated into a small embed system, which means that the application of this technique in agricultural engineering is feasible and of great economical value.

Citation Download Citation

Yong He, Jiazhi Pan, and Yun Zhang "3CCD image segmentation and edge detection based on MATLAB", Proc. SPIE 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine, 60471R (27 October 2006); https://doi.org/10.1117/12.710895

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