Colour Image Segmentation Based on a Spiking Neural Network Model Inspired by the Visual System
Colour Image Segmentation Based on a Spiking Neural Network Model Inspired by the Visual System
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DOI：
10.1007/978-3-642-14922-1_7
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发表时间：
2010-08
期刊：
影响因子：
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通讯作者：
Qingxiang Wu;T. McGinnity;L. Maguire;German D. Valderrama-Gonzalez;P. Dempster
中科院分区：
文献类型：
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作者：
Qingxiang Wu;T. McGinnity;L. Maguire;German D. Valderrama-Gonzalez;P. Dempster
人类视觉系统具有强大的图像处理功能。受视觉系统的启发，提出了一种脉冲神经网络来分割视觉图像。网络由两部分组成。第一部分是由光感受器、视锥细胞、视杆细胞和ON/OFF神经节细胞组成的脉冲神经网络。可以提取颜色特征并通过不同的ON/OFF路径。第二部分是训练BP神经网络进行颜色特征识别和分割。该网络已成功地应用于血液涂片图像中白细胞的分割。
The human visual system demonstrates powerful image processing functionalities. Inspired by the visual system, a spiking neural network is proposed to segment visual images. The network is constructed in the two parts. The first part is a spiking neural network which is composed of photon receptors, cone and rod cells, and ON/OFF ganglion cells. Colour features can be extracted and passed through different ON/OFF pathways. The second part is a BP neural network which is trained to recognize the colour features and segment the visual image. The network has been successfully applied to segment leukocytes from blood smeared images.