A Self-Synchronized Image Hash Algorithm

2010 ◽  
Author(s):  
Di Wu ◽  
Xiamu Niu
Keyword(s):  
Hash Algorithm ◽  
Image Hash

A Robust Compact Image Hash Algorithm Zhang Zhifeng, Pei Zhili

2017 ◽  
Vol 54 (10) ◽  
pp. 101002 ◽  
Author(s):  
张智丰 张智丰 ◽  
裴志利 裴志利
Keyword(s):  
Hash Algorithm ◽  
Image Hash

Image Hash Algorithm Based on Data Dimension Reduction and Symmetric Binary Pattern

2017 ◽  
Vol 54 (2) ◽  
pp. 021004
Author(s):  
王彦超 Wang Yanchao ◽  
郭静博 Guo Jingbo ◽  
周丽宴 Zhou Liyan
Keyword(s):  
Dimension Reduction ◽  
Hash Algorithm ◽  
Image Hash

scholarly journals Research on Energy Efficiency Management of Forklift Based on Improved YOLOv5 Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Zhenyu Li ◽  
Ke Lu ◽  
Yanhui Zhang ◽  
Zongwei Li ◽  
Jia-Bao Liu
Keyword(s):  
Object Detection ◽  
Data Preprocessing ◽  
Video Data ◽  
Item Statistics ◽  
Hash Algorithm ◽  
Image Hash ◽  
Major Bottleneck ◽  
Similar Images ◽  
Improved Model ◽  
Detection Speed

As an important tool for loading, unloading, and distributing palletized goods, forklifts are widely used in different links of industrial production process. However, due to the rapid increase in the types and quantities of goods, item statistics have become a major bottleneck in production. Based on machine vision, the paper proposes a method to count the amount of goods loaded and unloaded within the working time limit to analyze the efficiency of the forklift. The proposed method includes the data preprocessing section and the object detection section. In the data preprocessing section, through operations such as framing and clustering the collected video data and using the improved image hash algorithm to remove similar images, a new dataset of forklift goods was built. In the object detection section, the attention mechanism and the replacement network layer were used to improve the performance of YOLOv5. The experimented results showed that, compared with the original YOLOv5 model, the improved model is lighter in size and faster in detection speed without loss of detection precision, which could also meet the requirements for real-time statistics on the operation efficiency of forklifts.

A novel image hash algorithm resistant to print–scan

2009 ◽  
Vol 89 (12) ◽  
pp. 2415-2424 ◽  
Author(s):  
Di Wu ◽  
Xuebing Zhou ◽  
Xiamu Niu
Keyword(s):  
Hash Algorithm ◽  
Image Hash

scholarly journals An Aquatic Organism Image Retrieval Hash Algorithm Based on DCT

2018 ◽  
Vol 232 ◽  
pp. 03009
Author(s):  
Yuanhui Yu ◽  
Ying Deng ◽  
Yanfen Lin
Keyword(s):  
Image Retrieval ◽  
Aquatic Organism ◽  
Retrieval Algorithm ◽  
Retrieval Performance ◽  
Dct Transform ◽  
Image Scaling ◽  
Hash Algorithm ◽  
Retrieval Algorithms ◽  
Image Hash ◽  
Traditional Image

In order to overcome the disadvantages of traditional image retrieval algorithms such as inefficiency and time-consuming, an image retrieval algorithm based on DCT Hash is proposed. In this paper, the discrete cosine transform technique is applied to image retrieval. Firstly, the feature hash sequence is generated by computing the DCT transform component of the image based on annular segmentation. Then an image Hash algorithm based on DCT feature Hash sequence is proposed. Experimental results show that the algorithm is robust to image scaling, rotation, noise processing, and has good retrieval performance.

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