基于图像分析的橙子识别和计数研究摘要：随着计算机技术的快速发展，农业所使用的手段也在更新换代。以前所使用的通过人工来识别水果和技术的方法已经不能满足农民的需求，通过计算机对图像的分析可以快速完成对水果的识别，节省大量的时间和劳动力。本文对于球状水果，用 MATLAB 作为研究手段，从图像特征灰度化开始，通过小波去噪与中值滤波对图像进行预处理，用 sobel 算子做边缘检测，通过基于形态学的图像特征抽取和分析，最后用分水岭图像分割法实现目标识别与计数。该课题充分利用了 MATLAB 平台在图像处理方面的优势，经过优化和调试，可以快速准确地分析出结果。关键词：MATLAB；形态学；分水岭算法Orange Recognition and Numbering Based on Image AnalysisAbstract: With the rapid development of computer technology, the means used by agriculture are also being updated. The methods used to identify fruits and techniques by hand have not been able to meet the needs of farmers. The analysis of images by computer can quickly complete the identification of fruits, saving a lot of time and labor. In this paper, for globular fruit, MATLAB is used as the research method. From image graying, image preprocessing is performed by wavelet denoising and median filtering, edge detection is performed by sobel operator, and image feature extraction based on morphology is performed. Analysis, and finally use the watershed image segmentation method to achieve target recognition and counting. This topic makes full use of the advantages of MATLAB platform in image processing. After optimization and debugging, the results can be analyzed quickly and accurately.Keywords: MATLAB; morphology; watershed algorithm目录第一章 引言...........................................................................................................................................41 论文概述...........................................................................................................
