Abstract: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.