关键词: 特征点检测, 自调节感受野, 神经元反馈, 视觉注意机制

Abstract: The feature point detection plays an important role in the sequential process of image analysis and understanding. This paper proposes a new method of image feature point detection, which is based on the mechanism of visual receptive field and information flow feedback. By using the simple photoreceptor cell layer of the receptive that has a self-adaptive structure, a gross detection of the feature points of Gaussian differences acquired with convolution operation is conducted; redundant points are removed with the feedback mechanism of pulse information flow, and representative feature points are finally obtained under the visual attention mechanism. Although there are significantly fewer final feature points in the new algorithm than the traditional, when the image is rotated by 30°, 60°, 90° and the scale transformation is 0.8, 0.9, 1.1 and 1.2 respectively, image feature points in the new algorithm show more stable consistency. The method of feature point detection discussed in the paper provides a brand-new and effective idea for image processing based on visual physiological characteristics.

Key words: feature points detection, self-adaption receptive field, feedback of neurons, visual attention mechanism