光谱图
可靠性(半导体)
计算机科学
人工智能
透视图(图形)
模式识别(心理学)
图像(数学)
比例(比率)
语音识别
计算机视觉
功率(物理)
物理
量子力学
作者
Qin‐Xiang Jia,Rui Min,Shao Guang Huang,Ying Wei
出处
期刊:Applied Mechanics and Materials
[Trans Tech Publications, Ltd.]
日期:2014-08-01
卷期号:618: 362-366
被引量:1
标识
DOI:10.4028/www.scientific.net/amm.618.362
摘要
A novel approach to insect recognition is presented in this paper. The difference between the proposed method with traditional methods is that it starts from the perspective of image and combines voice processing algorithms with image processing algorithms. The classification is done based on voice activity detection (VAD) and spectrogram. We show, by means of example that this approach can recognize different insects correctly. However, despite the potential of correct recognition, further justification of the reliability of the method need to be provided by a larger scale of experiments. Hence, some improvements will be proposed latterly.
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