The new approach: I-Genetic algorithm for classification of craters

R. Krishnan, A. Dharani
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引用次数: 0

Abstract

Generally object detection using genetic algorithm in images will consider all pixels of the images for cross over procedure, it is time consuming and expensive in nature. Here the I-Genetic algorithm considers the intensity values of the object interest for classification, so the considerations of all pixels are eliminated which improves execution time as well as object detection. The I-Genetic algorithm considers the intensity values of the object interest for cross over operation.
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新方法:i -遗传算法分类陨石坑
一般在图像中使用遗传算法进行目标检测时,需要考虑图像的所有像素点进行交叉处理,耗时长,成本高。在这里,i -遗传算法考虑目标兴趣的强度值进行分类,因此消除了所有像素的考虑,从而提高了执行时间和目标检测。遗传算法考虑目标兴趣的强度值进行交叉操作。
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