基于图像处理的随机线段距离测量

Sharada Naik, S. Sondkar
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引用次数: 0

摘要

图像处理在仪器仪表和测量、机器人和自动化等领域有着广泛的应用。基于图像处理的随机线段检测及其距离测量在土地面积测量中得到了应用。提出的工作重点是利用图像处理技术进行随机线检测及其距离测量。建议的工作分为四个部分:边缘检测,线识别,识别线图像的平滑和识别线的距离测量。结果表明,利用图像处理技术可以识别出所有的随机线,进一步的距离测量误差小于4.5%。所提出的工作为使用图像处理技术进行土地面积测量等应用奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Random Line Segment Distance Measurement Using Image Processing
Image processing has wide range of applications in Instrumentation and Measurement, robotics and automation. Random line segment detection and its distance measurement using image processing finds application in land area measurement. The proposed work focuses on random line detection and its distance measurement using image processing techniques. The proposed work has four parts viz; edge detection, line identification, smoothening of the identified line image and distance measurement of the identified lines. The results shows that all random line are identified using image processing techniques and further distance measurement has errors less than 4.5%. The proposed work forms the basis of application like land area measurement using image processing techniques.
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