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The application of digital image processing technology in log volume gauge count greatly promoted the progress of forestry production to intelligent automation direction. However, based on digital image processing of intelligent log ruler algorithm for accurate ruler, the first premise is to obtain high-definition log end image, under the same log ruler algorithm, image clarity determines the final detection effect of the algorithm system, high-definition picture can improve the accuracy of algorithm recognition. In the natural environment, how to obtain the high-quality image of the log face effectively without changing the resolution of the camera is a problem. This paper presents a method based on the combination of laser ranging sensor and Yolov3 target detection algorithm, and an ZYNQ embedded system for automatic acquisition of higher quality log end face image is designed. Finally, the images obtained by the system are processed into the dense wood detection segmentation algorithm to obtain the log recognition results. Compared with the traditional image acquisition method, the number of logs that can be recognized by the images collected by the system designed in this paper increases by 36.6%. The experimental results show that, the system can obtain clear and higher quality target images in complex environment background and different illumination intensity. The problem of how to obtain high quality log end face image without changing camera resolution in natural environment is solved successfully.
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