计算机系统应用
計算機繫統應用
계산궤계통응용
APPLICATIONS OF THE COMPUTER SYSTEMS
2015年
5期
19-25
,共7页
金标检测卡%Hough变换%模板匹配%倾斜校正%定量检测
金標檢測卡%Hough變換%模闆匹配%傾斜校正%定量檢測
금표검측잡%Hough변환%모판필배%경사교정%정량검측
colloidal gold test strip%Hough transform%template matching%slope correction%quantitative determination
随着金标试纸条在医疗、水质和食品等众多领域的广泛使用,以及国家对各类检测标准要求的提高,研制可以对金标试纸进行定量检测的仪器具有重要的实际意义。考虑到机器视觉在工业界的广泛应用,可以通过工业摄像头获取金标试纸条图像,利用合适的图像处理技术,提取相应的特征,从而可以实现对金标试纸条的定量检测。为了解决工业相机采集到的金标检测卡图像存在的图像倾斜和试纸条区域寻找问题,在前人研究的基础上,根据金标检测卡外形的特点采用基于LSD的Hough变换来进行图像校正,并提出了一种改进的基于水平投影直方图的模板匹配算法。与传统的模板匹配算法相比,该算法在保证匹配正确率的前提下,具有更快的匹配速度,并且随着待匹配图像的增大,其所耗费的匹配时间的增长率较小。
隨著金標試紙條在醫療、水質和食品等衆多領域的廣汎使用,以及國傢對各類檢測標準要求的提高,研製可以對金標試紙進行定量檢測的儀器具有重要的實際意義。攷慮到機器視覺在工業界的廣汎應用,可以通過工業攝像頭穫取金標試紙條圖像,利用閤適的圖像處理技術,提取相應的特徵,從而可以實現對金標試紙條的定量檢測。為瞭解決工業相機採集到的金標檢測卡圖像存在的圖像傾斜和試紙條區域尋找問題,在前人研究的基礎上,根據金標檢測卡外形的特點採用基于LSD的Hough變換來進行圖像校正,併提齣瞭一種改進的基于水平投影直方圖的模闆匹配算法。與傳統的模闆匹配算法相比,該算法在保證匹配正確率的前提下,具有更快的匹配速度,併且隨著待匹配圖像的增大,其所耗費的匹配時間的增長率較小。
수착금표시지조재의료、수질화식품등음다영역적엄범사용,이급국가대각류검측표준요구적제고,연제가이대금표시지진행정량검측적의기구유중요적실제의의。고필도궤기시각재공업계적엄범응용,가이통과공업섭상두획취금표시지조도상,이용합괄적도상처리기술,제취상응적특정,종이가이실현대금표시지조적정량검측。위료해결공업상궤채집도적금표검측잡도상존재적도상경사화시지조구역심조문제,재전인연구적기출상,근거금표검측잡외형적특점채용기우LSD적Hough변환래진행도상교정,병제출료일충개진적기우수평투영직방도적모판필배산법。여전통적모판필배산법상비,해산법재보증필배정학솔적전제하,구유경쾌적필배속도,병차수착대필배도상적증대,기소모비적필배시간적증장솔교소。
It is practically important to develop an instrument for quantitative testing strips as the strips were widely used in areas like health, water, food, etc. and national higher demands were made on testing standard. Considering the widely use of machine vision, the test strip image can be got from the industrial camera. Taking advantage of the image processing for extracting corresponding feature can help achieve the quantitative test of the strips. In order to overcome the difficulties that rectificating the sloping test strip images and locating the region about test strip, this paper adopts the hough transform to correct the test strip image and proposes an improved template matching method based on the shape of integral projection. Compared with the traditional methods of template matching, this new method has much faster matching speed with guaranting the high matching accuracy. Moreover, the growing time of method proposed in this paper increase slowly along with enlarging the test strip image.