【摘 要】
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In this letter, a segment algorithm based on color feature of images is proposed. The algorithm separates the weed area from soil background according to the co
【机 构】
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School of Information Engineering, Hebei University of Technology, Tianjin 300130, China
论文部分内容阅读
In this letter, a segment algorithm based on color feature of images is proposed. The algorithm separates the weed area from soil background according to the color eigenvalue, which is obtained by analyzing the color difference between the weeds and background in three color spaces RGB, rgb and HSI. The results of the experiment show that it can get notable effect in segmentation according to the color feature, and the possibility of successful segmentation is 87%-93%. This method can also be widely used in other fields which are complicated in the background of the image and facilely influenced in illumination, such as weed identification, tree species discrimination, fruit picking and so on.
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