A Study On Machine Vision Identification For Standing Tree Branches And Trunks

Pruning is one of the most important and necessary step of cultivating plantation forest. The traditional pruning machine has low working efficiency, high casualty, limited prunning height and is difficult to meet the need of fostering the large area of commercial plantation in China. So the key method is to develop an automatic pruning technology, which should be safe, high quality and efficient.Based on studying of the theory of the traditional pruning machine, this paper synthetically applied digital image processing, wavelet, pattern recognization, template matching and multi-statistics technology, and designed a machine vision for automatically pruning to recognize the branch and trunk to be pruned. This paper applied the prophase base for the automatically recognization. The main contents and conclusions drawn in the dissertation:1. This thesis works out the mode of the machine vision system of automatic pruning machine, and designs an effective computer vision system.2. Through statistical analysis and research for the 116 group larch forests trunk and branch from Beijing Xishan forestry, and through superior fit for the test methods, we conclude the trunk and branch of larch forests obey the normal distribution; And apply the distance determine method of two person, a discrimination function of the larch fork branch and non-fork branch is established by statistics. Excellent discrimination results are obtained by the function and rule.3. Through comparing several common image compression, image enhancement and image filtering technologies, this paper introduced KL, DCT and DWT encoding, explained the gray and hist adjustment, and described and discussed in the mean filtering and medial filtering technology. In the final analysis, this paper selected for their use of...