数字图像轮廓特征提取过程研究

Research of Digital Image Profile Feature Extraction process

本文从数字图像处理角度出发,探讨了数字图像轮廓特征提取的一般过程,将原始图像进行灰度处理、平滑滤波、阈值分割、边缘检测等处理得到原始图像的二值黑白位图,提取出图像的轮廓特征。提取出来的特征可以用于进一步的图像识别、数学特征计算等研究,并给出常用方法下的提取过程和MATLAB环境下实现对照片中河流的提取。

This paper investigated the general process of digital image feature extraction from the perspective of Digital Image Processing,and got the binary black and white bitmap of the original image by using the image processing techniques,such as gray-scale processing,smoothing filter,threshold segmentation method,edge detection,and then extracted the image profile feature.Extracted profile features can be used in the image recognition and calculation of mathematical characteristics.This paper also gave the common methods of extraction process and extracted the stream from the photo based on MATLAB environment.