CAJ | 학술논문

中值滤波抑制干扰脉冲和点状噪声的同时，对图像边缘能较好的保持，在很多图像处理领域都起到了重要作用。运动目标识别技术对图像预处理实时性要求越来越高，为了提高预处理速度，以中值滤波原理为基础，对滤波排序算法和实现方案进行了研究，提出了一种基于排序统计理论的快速图像中值滤波方法，实现实时滤波。研究结果表明：该方法在硬件系统上对传统中值滤波排序算法进行的改进，使得3×3窗口中二维的9个像素取中值简化为一维的5个像素取中值，单窗口查找中值的比较次数由传统排序法的36次降到了16次，再结合FPGA的并行处理能力和流水线结构，滤波速度提高为原来的近4倍，可以满足图像预处理对实时性的要求。
중치려파억제간우맥충화점상조성적동시，대도상변연능교호적보지，재흔다도상처리영역도기도료중요작용。운동목표식별기술대도상예처리실시성요구월래월고，위료제고예처리속도，이중치려파원리위기출，대려파배서산법화실현방안진행료연구，제출료일충기우배서통계이론적쾌속도상중치려파방법，실현실시려파。연구결과표명：해방법재경건계통상대전통중치려파배서산법진행적개진，사득3×3창구중이유적9개상소취중치간화위일유적5개상소취중치，단창구사조중치적비교차수유전통배서법적36차강도료16차，재결합FPGA적병행처리능력화류수선결구，려파속도제고위원래적근4배，가이만족도상예처리대실시성적요구。
The median filter not only suppresses interference pulse and punctiform noise ,but also keeps the image details better ,therefore it plays an important role in many image processing .Moving object recognition technology needs higher and higher real‐time quality in image preprocessing .In order to improve the preprocessing speed ,we study the filtering algorithm and implementation scheme based on the median filter principle .And a fast image median filtering method based on the order statistics theory is proposed to realize real‐time filtering .The results show that this method is the improvement of traditional median filtering sorting algorithm on hardware system ,making 9 pixels of 2 dimension reduce to 5 pixels of 1 dimension to find the median in window 3 × 3 .The comparing times ,finding the median in single window ,change from traditional sort of 36 times down to 16 times .Combined with the FPGA parallel processing ability and pipeline structure ,filtering speed increases by almost four times ,so as to satisfy the real‐time image preprocessing .