目的 由于夜间图像具有弱曝光、光照条件分布不均以及低对比度等特点，给基于夜间车辆图像的车型识别带来困难。此外，夜间车辆图像上的车型难以肉眼识别，增加了直接基于夜间车辆图像的标定难度。因此，本文从增强夜间车辆图像特征考虑，提出一种基于反射和照度分量增强的夜间车辆图像增强网络（night-time vehicleimage enhancement network based on reflectance and illumination components，RIC-NVNet），以增强具有区分性的特性，提高车型识别正确率。方法 RIC-NVNet网络结构由3个模块组成，分别为信息提取模块、反射增强模块和照度增强模块。在信息提取模块中，提出将原始车辆图像与其灰度处理图相结合作为网络输入，同时改进了照度分量的约束损失，提升了信息提取网络的分量提取效果；在反射分量增强网络中，提出将颜色恢复损...

In this paper, a model for classification of logos based on symbolic representation of features is presented. The proposed model makes use of global features of logo images such as color, texture, and shape features for classification. The logo images are broadly classified into three different classes viz. logo image containing only text, an image with only symbol, and an image with both text ...

Rotationally invariant transforms, namely, angular radial transform and polar harmonic transforms such as polar cosine transform, polar sine transform and polar complex exponential transforms, are used to characterize image features for a number of applications like logo recognition, face recognition etc. But the computation of features using these transforms is an expensive process due to thei...

In simple terms, Automatic Vehicle Number Plate Recognition System (AVNPRS) can be described as a computer vision image processing technology. This technology captures images of vehicles and recognizes their number plates. As the world is becoming more sophisticated on each new day, security well management transportation system have become vital aspect in controlled places. Such places include...

The objective of this paper is to design an efficient vehicle license plate recognition System and to implement it for automatic parking inventory system. The system detects the vehicle first and then captures the image of the front view of the vehicle. Vehicle license plate is localized and characters are segmented. For finding the place of plate, a novel and real time method is expressed. A n...