Research on Capsule Leakage Detection Based on Linear Array Camera

Abstract

The common detection method used for detecting capsule is to put oil blotting paper on it and to observe whether the paper is clean after the conventional time. This method could cost low payment but need spend more time. A method to detect capsule whether the leakage occurs based on linear array camera is proposed in this paper. Firstly, the capsule images are taken by linear array camera and imaged processing in computer. Secondly, Adaptive Histogram Equalization (AHE) algorithm and Sobel Operator (SO) algorithm are used to sharpen the obtained images to highlight the position of the leakage parts. Finally, the leakage positions are determined by comparing the gray value difference of each area of the images. It is proved by a large number of experiments that, in the context of real-time detection, the error rate of capsule leakage detection is reduced from 10% to 1.5% if it takes the line scan camera to capture the images of a capsule illuminated by a laser with a wavelength of 638nm and the images to process by the above algorithm. Meanwhile, under the same number of comparison experiments, the detection task can be complete seven days in advance. Therefore, the capsule detection method proposed in this paper can greatly improve the accuracy and efficiency.