Study On On-line Detecting Method Of Vehicular Infrared Night Vision Image Of The Target Area

By area detection in infrared image and video has been the emphasis and difficulty in target detection. At present, the market of vehicular infrared night vision assistant system of using infrared camera to just image presented to the display, the image quality depends on the quality and performance by camera, did not get to the infrared image processing to get further information. So the traditional vehicle auxiliary driving system gradually cannot satisfy people’s needs. Along with the development of the computer vision technology, image processing algorithm in target detection and test has constantly been appreciated by area, gradually become a hot spot in the field of pattern recognition and intelligent information processing.In this paper, using self-built vehicular infrared image and video database, first on the characteristics of vehicular infrared image analysis, to extract the image information. Then, around the optical flow field of target detection algorithm is analyzed and compared, and the vehicular infrared image can be analyzed by the method of area detection, and puts forward a new optical flow field algorithm. Finally, the algorithm simulation and transplanting it to DSP development board for physical verification, obtain good experiment effect.Image preprocessing part, after comparing the traditional denoising algorithm, due to vehicular infrared night vision image features that are characteristic of denoising algorithm is proposed based on template statistics. Image enhancement part to highlight in the infrared image of each parts especially roads and movement of the object, this paper put forward the direction of diffusion algorithm to enhance the vehicular infrared night vision image, the method of target image enhancement can be very good at the same time highlight the edge information and help us adopt optical flow method to the target and can through the testing area.Simulation part, using the MATLAB tools for vehicular infrared night vision image algorithm validation, the result shows that this algorithm for infrared image recognition effect is better. Then transplanted algorithm DSP development board physical simulation, the experimental results show that the algorithm in the vehicular infrared night vision image through regional and target detection has a good effect, for automotive night vision auxiliary driving system has a larger theoretical and practical significance, and has a broad application prospect.