基于Visual C++的图像增强和轮廓提取研究

基金项目:

昆明理工大学校企合作项目(20090040）

Research of Image Enhancement and Contour Extracting Based on Visual C++

Faculty of Mechanical and Electrical Engineering of Kunming University of Science and Technology, Kunming 650093, China

摘要: 煤矿井下环境比较灰暗，采集的视频图像画面不清晰，尤其在发生事故时，需要对现场画面进行增强和轮廓提取处理。针对该问题，介绍了一种基于Visual C++的图像增强和轮廓提取的设计方法。该方法采用Visual C++处理位图图像,运用灰度变换方法实现图像增强、模板匹配方法实现边缘检测来突出图像轮廓。实验结果表明，采用该方法处理的图像得到了增强并较好地提取了图像轮廓，达到了预期效果。
- 图像处理 /
- 图像增强 /
- 轮廓提取 /
- 边缘检测 /
- DIB /
- 灰度变换 /
- Visual C++
Abstract: Collected video image is not clear because of grey environment of coal mine underground. Especially, field image need image enhancement and contour extracting when accident happens. To solve the problem, the paper introduced a design method of image enhancement and contour extracting based on Visual C++. The method uses Visual C++ to process bitmap image, uses gray level transformation method to realize image enhancement and uses template matching method to realize edge detection for outstanding contour. The experiment result showed that the image processed by the method is enhanced and its contour is extracted preferably, which achieves expected effect.
- image process, image enhancement, contour extracting, edge detection, DIB, gray level transformation, Visual C++ /