Fresh water algae rough classification and counting method based on lensless holographic imaging

A holographic imaging and lensless technology, applied in the field of holographic imaging, can solve the problems of low computational efficiency, incompatibility between algae classification and computational efficiency and accuracy, and high algorithm complexity, and achieve ideal and good results for rough classification and counting Rough classification and counting effect, effect of short image processing time

Inactive Publication Date: 2016-10-12
NANCHANG HANGKONG UNIVERSITY
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Problems solved by technology

[0003] There are many researches on traditional freshwater algae classification and counting algorithms, but often the efficiency and accuracy of algae classification and calculation cannot be achieved at the sam

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  • Fresh water algae rough classification and counting method based on lensless holographic imaging
  • Fresh water algae rough classification and counting method based on lensless holographic imaging
  • Fresh water algae rough classification and counting method based on lensless holographic imaging

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Embodiment Construction

[0022] The present invention will be further described below in conjunction with drawings and embodiments. see Figure 1 to Figure 3 , a method for rough classification and counting of freshwater algae cells based on lensless holographic imaging, the steps are as follows:

[0023] 1) Binarize the holographic image of freshwater algae acquired by the lensless holographic imaging device, and calculate the ratio S of the area of ​​all cells to the entire image area. When S≤5, go to step 2); otherwise, go to step 3);

[0024] 2) Use the method based on the cell shape feature to simply classify and count the scattered and small number of cell images; the steps are as follows:

[0025] a) Calculate data such as the length, width, area and the size of the circumscribed rectangle of each cell in the binarized image, and calculate the size of shape characteristic parameters such as circularity and rectangularity accordingly:

[0026] C ...

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Abstract

The invention discloses a fresh water algae rough classification and counting method based on lensless holographic imaging. Binaryzation processing of a fresh water algae holographic image, which is acquired by using a lensless holographic imaging device, is carried out, and a ratio of an area of a whole image occupied by all of cells is calculated. Simple classification and simple counting of cell images having dispersed cells and less cells are carried out by using a method based on a cell shape characteristic. The simple classification and the simple counting of the cell images having the concentrated cells and a lot of cells are carried out by using a cross-correlation matching method based on normalization. The rough classification and the rough counting of the cells in the fresh water algae holographic image are carried out in a targeted and accurate manner, and different solutions are provided by aiming at the cell images having different cell distribution ways and different cell numbers, and therefore the better effects of the rough classification and the counting are realized; and at the same time, realization complexity is low, image processing time is short, and final rough classification and counting results are ideal.

Description

technical field [0001] The invention relates to holographic imaging technology, mainly a rough classification and counting method based on cell shape features and normalized cross-correlation matching, in particular to a method for rough classification and counting of freshwater algae cells based on lensless holographic imaging. Background technique [0002] After using the holographic image of algae obtained by the lensless holographic imaging device, in order to achieve the purpose of detecting fresh water quality, it is necessary to simply classify and count the cells in the holographic image to estimate the type and number of algae in the water. [0003] There are many researches on traditional freshwater algae classification and counting algorithms, but often the efficiency and accuracy of algae classification and counting cannot be achieved at the same time. If the calculation efficiency is high, the algorithm accuracy is insufficient; on the contrary, if the algorithm...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06T7/00
CPCG06T7/0002G06T2207/10056G06T2207/30242G06V20/695G06V20/698G06F18/22G06F18/24
Inventor 陈震冷健雄张聪炫张初华王官权江少锋
Owner NANCHANG HANGKONG UNIVERSITY
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