Based on the information processing functionalities of spiking neurons, a spiking neural network model is proposed to extract features from a visual image. The network is constructed with a conductance-based integrate-and-fire neuron model and a set

Feature extraction is a key issue in contentbased image retrieval (CBIR). In the past, a number of texture features have been proposed in literature, including statistic methods and spectral methods. However, most of them are not able to accu

纹理图像的特征提取，这对日后用MATLAB提取相关特征值有一定的引导作用-Texture image feature extraction, which extracts relevant features using MATLAB future value of certain guide

有效提取图像几何特征提取源代码，包括：周长面积，矩形度，圆形度，拉伸度特征等(Effective extraction of geometric features of the image extraction source code, including: perimeter, area, rectangle, roundness, tensile characteristics, etc.)