In-vivo bacterial colony counting method based on infrared and optical image dual-mode imaging information

Abstract

The invention relates to an in-vivo bacterial colony counting method based on infrared and optical image dual-mode imaging information. The method includes following steps: obtaining an optical imageand a sequence infrared image of the same original target; processing the optical image by employing a level set algorithm; performing image registration on the optical image and the sequence infraredimage by employing affine transformation, and obtaining corresponding positions of connected domains in the sequence infrared image in sequence in the optical image according to obtained position information of the connected domains in the optical image; performing statistics on a connected domain local texture characteristic set of infrared image space lower sequence images corresponding to theconnected domains in the optical image one by one, wherein the texture characteristic set comprises five characteristics including a grayscale mean value, a grayscale variance, and the energy, the entropy and the correlation of a grayscale co-occurrence matrix; obtaining an in-vivo bacterial colony detection classification model; and counting the connected domains which are determined to have active characteristics in sequence, and obtaining the number of in-vivo bacterial colonies.

Description

technical field [0001] The invention belongs to the field of food and environmental protection detection, and in particular relates to a living body colony counting detection method. Background technique [0002] Colony counters have been developed from manual, semi-manual to fully automatic, and are widely used in the fields of biology and medicine. Compared with some conventional algorithms, the level set algorithm has greatly improved the algorithm speed and accuracy in colony counting. Conventional colony analysis instruments mostly process a single static image. According to the information of a single static image, the influence of foreign particles and dead bacteria on the colony count cannot be ruled out, and false positive errors are easily introduced. The determination of colony activity by infrared images is limited by the resolution and cost of infrared images, and the activity of colonies can only be judged qualitatively, and colonies cannot be counted directly...

AI Technical Summary

Problems solved by technology

The present invention proposes a live colony counting method combining optical images and infrared images. According to the fact that the heat of live colonies is higher than the background heat, false positive errors caused by factors such as impurities, water stains, and dead bacteria are eliminated, and at the same time, common infrared images are solved. Limited by the resolution and cost, the number of viable colonies cannot be obtained quantitatively

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