Character Segmentation-Based Coarse-Fine Approach for Automobile Dashboard Detection

A High-Robust Automatic Reading Algorithm of Pointer Meters Based on Text Detection

“… wherein, is the interpretation value of the algorithm; is the real value; is the meter full-scale value. Proposed algorithm and other algorithms [ 14 , 15 ] are used for the reading of different meters. Table 4 shows part of the reading results of the meter image reading using the algorithm proposed in this paper and other algorithms.…”

“…However, this article has realized the rectification of the instrument, and its accuracy has been greatly improved compared with other reading algorithms. Table 5 shows the average relative error of the proposed algorithm and the other two algorithms [ 14 , 15 ] for three different types of meter readings. It can be seen that the algorithm proposed in this paper can achieve better accuracy for different meters and has good adaptive capabilities.…”

“…This algorithm has improved the robustness of meter recognition system to brightness and shooting angle. Gao et al [ 14 ] put forward an adaptive algorithm for verifying automobile dashboard. They first used cascaded HOG/SVM and HOG/MSVM to locate and recognize the digital text of scale value.…”

“…The methods proposed by Alegria [ 11 ], Belan [ 12 ] and Gao [ 14 ] can achieve a higher accuracy in the verification system with manual control of brightness and shooting angle, but have a poor robustness in industrial fields with more complex shooting environment, such as external substations. In addition, although the methods proposed by Zheng [ 13 ], Ma [ 15 ], Chi [ 16 ] and Sheng [ 17 ] have improved the robustness of automatic reading algorithms to a certain extent, these methods are weak in adapting to different meter types, and the proposed algorithms can only be applied to the meter dials with certain characteristics.…”

Automated Decision Support System for Lung Cancer Detection and Classification via Enhanced RFCN With Multilayer Fusion RPN

“…With the introduction of deep learning techniques [2] particularly in object detection and feature extraction from big data, various computer-aided (CAD) systems based on deep learning are developed for real-world clinical use. These methods have significantly enhanced the quality and the efficiency of the healthcare sector particularly the screening process for lung cancer early detection.…”