| dc.description.abstract |
Increasing resolution of an image is more detailed information will be obtained especially in the image used to detect vehicles. But, every singles areas are not allow to analize with higher speed process. If there are no restrictions for the area to be processed, the processing time in real time exceeds the maximum processing time that should be. The high processing time that occurs make less rapid data flow. The high processing time can affect to processing speed. Region Of Interest (ROI) is the right wayto reduce the high processing time. ROI is able to mark certain areas so that it can be used to optimize system performance to detect, calculate and classify vehicles in realtime. Without ROI, processing is carried out on all pixels without exception. There are several steps taken in the research, namely analyzing existing problems, determining the ROI area, application of ROI before the image processing and analyzing the results obtained. The results obtained are by using ROI image processing time can be faster than the processing time when not using ROI.
Keywords : image processing, car classification, region of lnterest (ROI), processing time
| en_US |
