Power transmission line channel hidden danger image recognition method and device based on image enhancement

The invention discloses a power transmission line channel hidden danger image recognition method and device based on image enhancement. The method comprises: collecting power transmission line channel image; by adopting a defogging algorithm based on dark channel priority, carrying out image additio...

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Hauptverfasser: WANG TAOWEI, ZHU GUODONG, CHENG YUHANG, CHEN GUANG, ZHANG XIAOMING, WANG RUSONG, SU ZHONGLAI, ZHAO HE, LI CHUNLEI, HU XIANGYANG, CAO CHENGLU, YANG XIAOHUI, QIAO XINXING, XU XIAOGUANG, GUO SHUAICHAO, SHEN CHUANZHI, ZHANG YONGXIN, ZHANG XINYANG, WANG KE, LIU MINGQI
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a power transmission line channel hidden danger image recognition method and device based on image enhancement. The method comprises: collecting power transmission line channel image; by adopting a defogging algorithm based on dark channel priority, carrying out image addition processing on the picture, and obtaining a defogged clear image; performing size scaling processing on the power transmission line picture according to a deep learning model input image size requirement; and detecting and identifying the power transmission line image by using a deep learning image identification algorithm model to obtain the sizes and categories of channel hidden danger targets such as construction machinery and forest fire in the image. According to the power transmission line channel hidden danger image recognition algorithm and device based on image enhancement, the YOLOv4 algorithm is adopted to meet the requirements of deploying a deep learning model on an embedded platform of the device for