Author(s)

Jin Lu

Affiliation(s)

Guangdong Key Laboratory of Big Data Intelligence for Vocational Education, Shenzhen Polytechnic, Shenzhen 518055, Guangdong, China.

Corresponding Author

Jin Lu, email: lujin0808@szpt.edu.cn

ABSTRACT

Comparative picture handling may be a troublesome issue within the field of computer vision, which is broadly utilized in confront acknowledgment, signature acknowledgment, question following, brilliantly restorative and other areas. This paper proposes a profound Siamese network demonstrate for comparative picture comparison, which can be utilized within the assignment of finding the relationship between two comparable things. Based on the conventional twin arrange design, the acknowledgment rate can reach more than 99.75% by altering the parameters and structure and utilizing two or more indistinguishable sub-nets with the same engineering and sharing the same parameters and weights.

KEYWORDS

Siamese Network; Similar Picture Comparison.

CITE THIS PAPER

Lu Jin. A deep siamese network model for large-scale similar picture comparison. Eurasia Journal of Science and Technology. 2022, 4(2): 6-11.

REFERENCES

[1] Syed Muhammad Arsalan Bashir; Yi Wang; Mahrukh Khan; Yilong Niu; "A Comprehensive Review of Deep Learning-based Single Image Super-resolution", PEERJ. COMPUTER SCIENCE, 2021. 

[2] Jiawei Zhang; Chen Li; Md Mamunur Rahaman; Yudong Yao; Pingli Ma; Jinghua Zhang; Xin Zhao; Tao Jiang; Marcin Grzegorzek; "A Comprehensive Review of Image Analysis Methods for Microorganism Counting: from Classical Image Processing to Deep Learning Approaches", ARTIFICIAL INTELLIGENCE REVIEW, 2021. 

[3] Dhanamjayulu Chittathuru; N. NizhalU.; Praveen Kumar Reddy Maddikunta; Thippa Reddy Gadekallu; Celestine Iwendi; Chuliang Wei; Qin Xin; "Identification of Malnutrition and Prediction of BMI from Facial Images Using Real-time Image Processing and Machine Learning", IET IMAGE PROCESS., 2022. 

[4] Bhimavarapu Usharani; "Hypertensive Retinopathy Classification Using Improved Clustering Algorithm and The Improved Convolution Neural Network", ADVANCES IN SYSTEMS ANALYSIS, SOFTWARE ENGINEERING, AND HIGH PERFORMANCE COMPUTING, 2022. 

[5] Shinichiro Mori; "Deep Architecture Neural Network-based Real-time Image Processing For Image-guided Radiotherapy", PHYSICA MEDICA : PM : AN INTERNATIONAL JOURNAL DEVOTED TO THE APPLICATIONS OF PHYSICS TO MEDICINE AND BIOLOGY : OFFICIAL JOURNAL OF THE ITALIAN ASSOCIATION OF BIOMEDICAL PHYSICS (AIFB), 2017. 

[6] S Shirly; K Ramesh; "Review On 2D And 3D MRI Image Segmentation Techniques", CURRENT MEDICAL IMAGING REVIEWS, 2017. 

[7] Stephen Lynch; "Image Processing with Python", 2018. 

[8] Thierry Bouwmans; Sajid Javed; Hongyang Zhang; Zhouchen Lin; Ricardo Otazo; "On The Applications of Robust PCA in Image and Video Processing", PROCEEDINGS OF THE IEEE, 2018. 

[9] Xi-Wei Yao; Hengyan Wang; Zeyang Liao; Ming-Cheng Chen; Jian Pan; Jun Li; Kechao Zhang; Xingcheng Lin; Zhehui Wang; Zhihuang Luo; Wenqiang Zheng; Jianzhong Li; Meisheng Zhao; Xinhua Peng; Dieter Suter; "Quantum Image Processing And Its Application To Edge Detection: Theory And Experiment", ARXIV, 2018. 

[10] Gene Cheung; Enrico Magli; Yuichi Tanaka; Michael Ng; "Graph Spectral Image Processing", ARXIV, 2018. 

[11] Sounak Dey; Anjan Dutta; J. Ignacio Toledo; Suman K. Ghosh; Josep Llados; Umapada Pal; "SigNet: Convolutional Siamese Network For Writer Independent Offline Signature Verification", ARXIV, 2017. 

[12] Qing Guo; Wei Feng; Ce Zhou; Rui Huang; Liang Wan; Song Wang; "Learning Dynamic Siamese Network For Visual Object Tracking", ICCV, 2017. 

[13] Dahjung Chung; Khalid Tahboub; Edward J. Delp; "A Two Stream Siamese ConvolutionalNeural Network For Person Re-Identification", ICCV, 2017. 

[14] Anfeng He; Chong Luo; Xinmei Tian; Wenjun Zeng; "A Twofold Siamese Network For Real-Time Object Tracking", CVPR, 2018. 

[15] Shehzad Muhammad Hanif; "Patch Match Networks: Improved Two-channel and Siamese Networks for Image Patch Matching", PATTERN RECOGNIT. LETT., 2019. 

[16] Meng Zheng; Srikrishna Karanam; Ziyan Wu; Richard J. Radke; "Re-Identification With Consistent Attentive Siamese Networks", CVPR, 2019. 

[17] Jianbing Shen; Xin Tang; Xingping Dong; Ling Shao; "Visual Object Tracking By Hierarchical Attention Siamese Network", IEEE TRANSACTIONS ON CYBERNETICS, 2019. 

[18] Peixia Li; Boyu Chen; Wanli Ouyang; Dong Wang; Xiaoyun Yang; Huchuan Lu; "GradNet: Gradient-Guided Network For Visual Object Tracking", ICCV, 2019. 

[19] Qijie Zou; Yue Zhang; Shihui Liu; Jing Yu; "A Real-Time Object Tracking Model Based on Deeper Siamese Network", 2020 3RD INTERNATIONAL CONFERENCE ON UNMANNED SYSTEMS (ICUS), 2020. 

[20] Guo Q, Wei F, Zhou C, et al. Learning Dynamic Siamese Network for Visual Object Tracking[C]// 2017 IEEE International Conference on Computer Vision (ICCV). IEEE Computer Society, 2017. 

[21] Zheng H, Gong M, Liu T, et al. HFA-Net: High frequency attention siamese network for building change detection in VHR remote sensing images[J]. Pattern Recognition, 2022, 129.