Recent Advances in Elastico-mechanoluminescent Materials

Xing Xin, Juncheng Zhang, Yunze Long, Yanjie Liu and Yong Wan

Abstract: Elastico-mechanoluminescence (EML), a type of mechanoluminescence (ML) induced by the application of mechanical energy on a solid, has attracted much attention due to the non-destructive, reliable and recoverable advantages in mechano-optical conversion. This article provides a review of the research related to EML. This review mainly summarizes the development, properties, mechanism and applications of EML materials. The potential applications of EML materials in stress sensor, visualization of stress distribution, lighting and display, as well as bio-image are highlighted. The challenge is finally identified.

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Development and Biomechanical Evaluation of a New type of Cervical Intervertebral Fusion Cage by 3D Printing

Ming Cong, Bohua Chen, Xuexiao Ma, Hongfei Xiang and Po Wang

Abstract: Cervical implants have being widely used in cervical surgery, and when it is produced with 3d printing technique, there are more advantages than that with the traditional way. This article is aiming to introduce a new type of cervical intervertebral fusion cage by 3D printing, regarding to its design concept, making process and how to evaluate it biomechanically. Using nano hydroxyapatite and polylactide as raw material, generate the cervical intervertebral fusion cage with 3D print. The maximum compressive load of nano hydroxyapatite/polylactide (n-HA/PLA) group and the traditional carbon fiber group used a mechanical detector. The compressive load of n-HA/PLA group is slightly lower than the carbon fiber group. But it is not statistical significant (P>0.05). With the good compression resistance performance, the new type of n-HA/PLA cervical intervertebral fusion cage can meet the biomechanics requirements of clinical implant.

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Design and Realization of Parking Assistant System Based On Binocular Vision

Gaowei Li, Guoxia Li, Hongze Li and Peijiang Chen

Abstract: With the improvement of people’s living standards, the number of cars per owned continuously increases. The problem of parking in space more easily, which many owners face. In view of this phenomenon, the 3D information reconstruction based on binocular vision and image splicing technology is applied, and a system of parking assistance is designed to provide the intuitional backward image information and obstacles to owners in order to help drivers conveniently and quickly stop into parking space. After the image preprocessing and analysis of image splicing algorithm based on SIFT algorithm simulation, the image splicing is realized. Using the principle of machine vision, Harris algorithm is used to detect feature points and match feature points. A system is designed based on the binocular vision technology, which can effectively detect the recent distance between the obstacles with the rear of car.

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Study and Implementation of Image Stitching Based on SIFT Algorithm

Xiaolei Yu, Zhenyu Yi, Erjuan shang, Peijiang Chen

Abstract: Along with the development of the field of image processing, the demand to obtain wide visual angle and high resolution image is constant and growing, the technology of image stitching is important and used widely. The existing stitching algorithms are analyzed, and the characteristics of SIFT algorithm is introduced. By using the feature points extraction and matching operation ability of SIFT, it can find stable critical points. According to the feature points matching of SIFT, the image stitching can be realized. Through the analysis of the experiment, the reliability and stability of the image stitching method are verified which can be used in many fields.

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