In this thesis, an image processing pipeline for detecting and segmenting neurons in zebrafish embryo microscopic images is developed based on the character of zebrafish images.
论文在充分分析斑马鱼图像特点的基础上，提出了一套快速、准确的斑马鱼神经元自动检测方案。
The architecture of real time image processing as pipeline structure, massive array and linear array processing, as well as the image understanding system structures, are discussed and compared.
讨论和比较了实时图像处理中的流水线、大阵列处理器及线性阵列处理器结构及实时图像理解的总体结构。
The theoretical model computation shows that it is an extremely effective method for non-metallic pipeline GPR image abstraction, and its results are better than those from routine processing method.
理论模型计算表明这是一种提取非金属管gpr图像的有效方法，其效果远比常规方法处理的好。
It works fast as for the pipeline tech, which lays foundation for the processing of image data with higher resolution.
由于整个设计采用流水线技术，所以处理速度极快，这也为将来处理更高分辨率的图像数据奠定了硬件实现的基础。
It works fast as for the pipeline tech, which lays foundation for the processing of image data with higher resolution.
由于整个设计采用流水线技术，所以处理速度极快，这也为将来处理更高分辨率的图像数据奠定了硬件实现的基础。
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