Vision Based Obstacles Recognition System for Automated Lawn Mower Robot Development
Digital image processing techniques (DIP) have been widely used in various types of application recently. Classification and recognition of a specific object using vision system require some challenging tasks in the field of image processing and artificial intelligence. The ability and efficiency of vision system to capture and process the images is very important for any intelligent system such as autonomous robot. This paper gives attention to the development of a vision system that could contribute to the development of an automated vision based lawn mower robot. The works involve on the implementation of DIP techniques to detect and recognize three different types of obstacles that usually exist on a football field. The focus was given on the study on different types and sizes of obstacles, the development of vision based obstacle recognition system and the evaluation of the systems performance. Image processing techniques such as image filtering, segmentation, enhancement and edge detection have been applied in the system. The results have shown that the developed system is able to detect and recognize various types of obstacles on a football field with recognition rate of more 80％.
Image Processing Image Filtering Image Enhancements Vision System
Zalhan Mohd Zin Ratnawati Ibrahim
Iindustrial Automation Section,UniKL MFI, Malaysia 43650 Bandar Baru Bangi, Selangor, Malaysia
国际会议
Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)
成都
英文
500-507
2011-04-15（万方平台首次上网日期，不代表论文的发表时间）