摘要
边缘检测的准确性对于提升人工视觉感知系统的性能具有重要意义。构建一种具有长短时程突触互补特性的神经元网络:首先引入视锥细胞群的主导颜色拮抗特性,对待测图像的颜色拮抗通道进行加权编码,获得待测图像的初级边缘感知;然后模拟神经元群同步放电特性,定义突触动态连接的神经元作用窗口,实现对初级边缘感知的群放电时间编码;接着构建长短时程突触互补模块,基于短时程内神经元群同步放电特性和长时程内神经元放电活动时序空间依赖性,实现长短时程突触可塑性编码及互补融合;最后通过对时间信息流的编码,得到边缘响应。以根据常规微生物实验需求而采集的20幅菌落图像为实验材料,并以重构相似度MSSIM、边缘置信度BIdx及综合性指标EIdx作为评价指标。结果表明,相对于VSC、NIS和MSP等3种主流方法,该研究算法的检测结果边缘准确且漏检率较低,与人工主观观测结果较为一致;同时MSSIM、BIdx、EIdx等3个指标的均值和标准差分别为0.909 6±0.037 7、0.671 5±0.105 7、0.804 8±0.052 1,整体性能优于上述3种主流方法。通过模拟神经元群体的长短时程突触互补特性,为实现视觉感知计算模型的构建以及在图像处理中的应用提供一种新的思路。
The accuracy of edge detection is of great significance for improving the performance of artificial visual perception systems.In this work,a neural network with long and short-term synaptic complementarity was constructed.First,the dominant color antagonistic characteristics of cone cells were introduced,and the color antagonistic channels of the image to be tested were weighted to obtain the primary edge perception of the image to be tested.the synchronous firing characteristics of the neuron group were simulated,the synapse dynamically connected neuron action window was defined,and the group discharge time coding of the primary edge perception was realized;then a long-and short-term synaptic complementary module was built based on the synchronous firing of the neuron group in the short-term characteristics and the temporal and spatial dependence of neuron firing activity in the long-term,to achieve long-and short-term synaptic plasticity coding and complementary fusion.At last,the edge response by encoding the temporal information stream was obtained.The 20 pairs of colony images collected by the laboratory according to the needs of routine microbiological experiments were used as experimental materials,and the reconstructed similarity MSSIM,edge confidence BIdx,and comprehensive index EIdx were used as evaluation indicators.Results showed that,compared with the three mainstream methods of VSC,NIS and MSP,the detection results of the algorithm of this study had accurate edges and a low missed detection rate,which was consistent with the results of artificial subjective observations;meanwhile,the mean and standard deviation of the three indicators of MSSIM,BIdx and EIdx was0.909 6±0.037 7,0.671 5 ± 0.105 7,and 0.804 8 ± 0.052 1 respectively,and the overall performance was better than the above three mainstream methods.The method provided a new idea for realizing the construction of visual perception computing model and its application in image processing by simulating the long-and shortterm synaptic complemen
作者
余翔
范影乐
房涛
武薇
Yu Xiang;Fan Yingle;Fang Tao;Wu Wei(Laboratory of Pattern Recognition and Image Processing,Hangzhou DianZi University,Hangzhou 310018)
出处
《中国生物医学工程学报》
CAS
CSCD
北大核心
2020年第6期641-651,共11页
Chinese Journal of Biomedical Engineering
基金
国家自然科学基金(61501154)。
关键词
边缘检测
主导颜色拮抗
突触动态连接
突触可塑性
长短时程突触互补
edge detection
dominant color antagonism
synaptic dynamic connection
synaptic plasticity
long-and short-term synaptic complementarity
