Zebra fish diencephalon and midbrain automatic dividing method under high-throughput imaging system

Abstract

The invention discloses a zebra fish brain area dividing method under a high-throughput imaging system, which mainly solves the brain area dividing problem in a zebra fish image under the conditions of relatively complex overall image gray level, low gray level contrast ratio of backgrounds of diencephalon and areas around the diencephalon, and relatively poor midbrain boundary. The method mainlycomprises the following steps of: initially estimating the zebra fish brain area, constructing energy functional of a model for dividing the zebra fish diencephalon area, forming a closing curve for surrounding the zebra fish diencephalon area, designing an edge ceasing function, and constructing a model for dividing the zebra fish diencephalon geodesic outline. The dividing method can effectively solve the problems of poor edges, low gray level and contrast ratio, and the like, and can accurately obtain the complete and close outline of zebra fish diencephalon and midbrain.

Description

technical field [0001] The invention relates to biomedical image processing and analysis, in particular to a method for segmenting zebrafish brain regions under a high-throughput imaging system. Background technique [0002] Zebrafish is a kind of bony fish belonging to the subclass of Radiopteridae. Its nervous system, visual system, blood and other aspects are very similar to humans in its early development, and it grows extremely fast and its embryos are transparent. Due to this series of reasons, zebrafish has become an excellent material for studying the development of animal embryos and an important model animal for the cause of human diseases. Image segmentation is often the most fundamental problem in zebrafish image processing and analysis, and automatic segmentation methods for zebrafish diencephalon and midbrain have not been studied. None of the current image segmentation methods can segment the diencephalon and midbrain in zebrafish embryo images well: for the ...

AI Technical Summary

Problems solved by technology

None of the current image segmentation methods can segment the diencephalon and midbrain in zebrafish embryo images well: for the threshold segmentation method, because the gray mean values ​​of the zebrafish diencephalon and midbrain are different, the threshold method cannot be well segmented. Generate a threshold to segment the brain region; for edge detection methods, it is difficult to segment the brain through the edge detection operator because the grayscale near the brain region is similar to the background grayscale near the brain

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