图像边缘提取算法在第三次土地调查中的应用

Application of Image Edge Extraction Algorithm in Third National Land Survey

MATLAB是美国MathWorks公司旗下的商用数学软件,该软件因其出众的计算能力和便捷的绘图能力在算法开发及数据可视化等领域应用广泛。在第三次全国土地调查的背景下,针对第三次全国土地调查的部分脱敏统筹影像数据,通过当前应用比较广泛的五种边缘提取算法:Sobel算法、Roberts算法、Laplace算法、Prewitt算法和Canny算法进行实验对比。分别对所选取统筹脱敏实验影像中的指定地物进行严谨、精准、高效的特征边缘检测,分析不同算法的图像处理效果,并从算法的复杂程度、噪声敏感度、定位精度、信噪比等方面全面深入地对五种算法在第三次全国土地调查中呈现的特点进行总结分析,并对五种常规图像边缘检测算法在第三次全国土地调查及其类似项目中应用的可行性和前景进行探讨与展望。

MATLAB is a commercial mathematical software belonging to MathWorks of the United States,which is widely used in fields such as algorithm development and data visualization due to its outstanding computing power and convenient drawing capabilities.Under the background of the third national land survey,we focus on the partial desensitization of the third national land survey to coordinate the image data.The experimental comparison is made between Sobel algorithm,Roberts algorithm,Laplace algorithm,Prewitt algorithm and Canny algorithm.Rigorous,accurate and efficient feature edge detection is carried out for the designated features in the selected coordinated desensitization experimental images,and the image processing effects of different algorithms are analyzed.The characteristics of the five algorithms in the third national land survey are summarized and analyzed comprehensively and deeply from the aspects of complexity,noise sensitivity,positioning accuracy and signal-to-noise ratio.The feasibility and prospect of applying five conventional image edge detection algorithms in the third national land survey and similar projects are discussed and prospected.