Area nucleus segmentation counting method based on algae cell morphology

Abstract

The invention discloses an area nucleus segmentation counting method based on algae cell morphology, and relates to the technical field of image processing and image segmentation, and the method comprises the steps: carrying out the feature extraction and clustering of a connected region, dividing a single cell region into one class, designing a weight area kernel according to the area of the single cell region, and carrying out the matching with algae cells through the weight area kernel. Therefore, the adherent cell area is segmented, the noise area is filtered, and the purpose of counting is achieved. According to the morphological characteristics of an alga connected region, a Gaussian mixture model is used for clustering, a weight area kernel similar to an alga form is constructed, the area kernel can well filter noisy points, high precision is achieved in the aspect of segmentation of incomplete alga cells and adherent cells, meanwhile, a precise positioning mode is adopted, and the segmentation processing speed is improved.

Description

technical field [0001] The invention relates to the technical field of image processing and image segmentation, in particular to an area nucleus segmentation and counting method based on algae cell morphology. Background technique [0002] Algae is a primary producer of aquatic plants in nature, and the carbon-containing organic matter produced by photosynthesis is higher than that of some higher plants, which leads to the consumption of a large amount of substances for photosynthesis. Coupled with its super viability, once the water quality is polluted, such as eutrophication, some algae will multiply in large numbers, consume a lot of oxygen and other substances in the water, and produce some harmful substances at the same time, destroying the basic water ecology. balance, resulting in a large number of deaths of other aquatic organisms in the water, and even the destruction of aquatic ecology in severe cases. In order to monitor changes in water quality and prevent algal...

AI Technical Summary

Problems solved by technology

[0015] The above-mentioned technical solutions cannot solve the noise problem in microscopic images of algae cells. Noises are often identified as algae cells, which are sensitive to noise and easy to over-segment; the segmentation effect on algae cells is also very limited, especially the segmentation of cohesive cells. Segmentation of Tightly Adhesive Algal Cells

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