Infrared and Visible Image Fusion Method Based On Three Stages of Discrete Wavelet Transform

Lingchao Zhan,Yi Zhuang 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.5

For infrared images, the performance of texture details in the target scene is not good, and for visible images, the performance is constrained by illumination and environment. An image fusion method is proposed here, its characteristic is getting three different discrete wavelet fusion methods together. The method has three stages, in the first two stages, the infrared and visible images are fused using different wavelet fusion rules, the two fusion results from the first and the second stage are fused again using another wavelet fusion rule, and then we get the final fusion result. The result proves that, compared with the similar research methods, the proposed method can ensure the quality and enhance the spatial detail of the fused image.

LB energy-saving high temperature shift catalyst and its adsorption thermodynamics

Lingchao Wei,Fu’An Wang,Yi Liu,Yongli Chai 한국화학공학회 2009 Korean Journal of Chemical Engineering Vol.26 No.1

This study prepared an LB energy-saving high temperature shift catalyst by optimizing its prepare parameters with artificial neural network, and measured its catalytic activities at various steam-gas ratios. It shows that the LB catalyst performs well at a lower steam-gas ratio. The chromatographic retention parameters of CO, CO2, and H2O on LB catalyst were experimentally determined by means of inverse gas chromatography (IGC). Adsorption enthalpies, Gibbs adsorption free energies and adsorption entropies of different gases were estimated by their retention volumes in infinite dilution region. The interaction parameters ( χ) between absorbate gases and LB catalyst were calculated according to Flory-Huggins theory, and were inversely linear with temperature. The thermodynamics mechanism of the adsorption process was discussed from the view of the microcosmic factors of molecular structure and thermodynamic properties.

Face Recognition based on Weber Symmetrical Local Graph Structure

( Jucheng Yang ),( Lingchao Zhang ),( Yuan Wang ),( Tingting Zhao ),( Wenhui Sun ),( Dong Sun Park ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.4

Weber Local Descriptor (WLD) is a stable and effective feature extraction algorithm, which is based on Weber's Law. It calculates the differential excitation information and direction information, and then integrates them to get the feature information of the image. However, WLD only considers the center pixel and its contrast with its surrounding pixels when calculating the differential excitation information. As a result, the illumination variation is relatively sensitive, and the selection of the neighbor area is rather small. This may make the whole information is divided into small pieces, thus, it is difficult to be recognized. In order to overcome this problem, this paper proposes Weber Symmetrical Local Graph Structure (WSLGS), which constructs the graph structure based on the 5 × 5 neighborhood. Then the information obtained is regarded as the differential excitation information. Finally, we demonstrate the effectiveness of our proposed method on the database of ORL, JAFFE and our own built database, high-definition infrared faces. The experimental results show that WSLGS provides higher recognition rate and shorter image processing time compared with traditional algorithms.

Regulatory Mechanism of MicroRNA-145 in the Pathogenesis of Acute Aortic Dissection

Tianbo Li,Chencheng Liu,Lingchao Liu,Han Xia,Yingbin Xiao,Xuefeng Wang,Yong Wang 연세대학교의과대학 2019 Yonsei medical journal Vol.60 No.4

Purpose: Previous studies have confirmed that microRNAs play important roles in the pathogenesis of acute aortic dissection(AAD). Here, we aimed to explore the role of miR-145 and its regulatory mechanism in the pathogenesis of AAD. Materials and Methods: AAD tissue samples were harvested from patients with aortic dissection and normal donors. Rat aorticvascular smooth muscle cells (VSMCs) were transfected with miR-145 mimic/inhibitor or negative control mimic/inhibitor. Geneand protein expression was measured in human aortic dissection tissue specimens and VSMCs by qRT-PCR and Western blot. Luciferasereporter assay was applied to verify whether connective tissue growth factor (CTGF) was a direct target of miR-145 inVSMCs. Methyl thiazolyl tetrazolium assay was used to detect VSMC viability. Results: miR-145 expression was downregulated in aortic dissection tissues and was associated with the survival of patients withAAD. Overexpression of miR-145 promoted VSMC proliferation and inhibited cell apoptosis. Moreover, CTGF, which was increasedin aortic dissection tissues, was decreased by miR-145 mimic and increased by miR-145 inhibitor. Furthermore, CTGF wasconfirmed as a target of miR-145 and could reverse the promotion effect of miR-145 on the progression of AAD. Conclusion: miR-145 suppressed the progression of AAD by targeting CTGF, suggesting that a miR-145/CTGF axis may provide apotential therapeutic target for AAD.

A Tissue-Engineered Conduit for Urinary Diversion Using Bone Marrow Mesenchymal Stem Cells and Bladder Acellular Matrix

Yunhe Xiong,Wen-Biao Liao,Sixing Yang,Lingchao Meng,Chao Song 한국조직공학과 재생의학회 2015 조직공학과 재생의학 Vol.12 No.3

Ileal conduits are commonly used in bladder cancer treatment and in pediatric patients who require urinary diversion surgeries. We constructed a tissue-engineered conduit using bone marrow mesenchymal stem cells (BMSCs) and a bladder acellular matrix (BAM) and transplanted it into rabbits for urinary diversion to evaluate the feasibility of its clinical application. Rabbit BMSCs were isolated, expanded in vitro, and were then treated with a conditional medium for 3 weeks, allowing the BMSCs to transform into urothelium-like cells. These cells were seeded onto BAM and cultured for another week. The cell-matrix grafts were then sewn into a conduit approximately 4 cm in length and 1 cm in diameter and were implanted as conduits for urinary diversion in 12 male rabbits. Rabbits were sacrificed at 1, 2, and 4 week after operation. Histologic examinations were performed using hematoxylin and eosin staining and tissue structures were evaluated by using immunohistochemistry. BMSCs can transform into urothelium-like cells that express the urothelium-specific proteins uroplakin 1A (UPK1A), cytokeratin 7 (CK7), and cytokeratin 13 (CK13). These cells are able to generate epithelial coverage in the conduit lumen based on BAM. Immunohistochemistry showed positive staining with AE1/AE3, UPK1A, and tight junction protein 1 (ZO-1), indicating the presence of mature and functional epithelial cells on the lumen of the conduit. BMSCs may represent a new source cell for urinary tissue engineering, and it is feasible to construct a conduit with transformed BMSCs and BAM for urinary diversion in rabbits.

3D Facial Landmark Tracking and Facial Expression Recognition

Medioni, Gerard,Choi, Jongmoo,Labeau, Matthieu,Leksut, Jatuporn Toy,Meng, Lingchao The Korea Institute of Information and Commucation 2013 Journal of information and communication convergen Vol.11 No.3

In this paper, we address the challenging computer vision problem of obtaining a reliable facial expression analysis from a naturally interacting person. We propose a system that combines a 3D generic face model, 3D head tracking, and 2D tracker to track facial landmarks and recognize expressions. First, we extract facial landmarks from a neutral frontal face, and then we deform a 3D generic face to fit the input face. Next, we use our real-time 3D head tracking module to track a person's head in 3D and predict facial landmark positions in 2D using the projection from the updated 3D face model. Finally, we use tracked 2D landmarks to update the 3D landmarks. This integrated tracking loop enables efficient tracking of the non-rigid parts of a face in the presence of large 3D head motion. We conducted experiments for facial expression recognition using both framebased and sequence-based approaches. Our method provides a 75.9% recognition rate in 8 subjects with 7 key expressions. Our approach provides a considerable step forward toward new applications including human-computer interactions, behavioral science, robotics, and game applications.