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2017 EPTC Power Transmission and Transformation Technology conference

作者： Zhang, Yang Jia, Ran Liu, Hui Zhou, Chao Liu, Rong State Grid Shan Dong Electric Power Research Institute Jinan China

ISBN: (纸本)9781785615153

Surface pollution monitoring and evaluation of DC line insulators is an important ways to improve the pertinence and efficiency of anti-pollution flashover measures. The design and development of software for surface pollution analysis of DC insulators based on the synergetic evaluation of surface leakage current and visible light images are presented. Through the collection, processing and optimization comparison of the visible light image signal and the DC leakage current signal of the DC insulator surface, the pollution detection and pollution flashover warning of the insulators on the DC line are realized. © 2018 Institution of Engineering and Technology. All right reserved.

关键词： image recognition

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A single Tier Homogeneous Visual Sensor Network for Real Time face recognition 8

A single Tier Homogeneous Visual Sensor Network for Real Tim...

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8th IEEE International conference on Computational Intelligence and Computing Research (IEEE ICCIC)

作者： Sriharsha, K. V. Alphonse, P. J. A. Natl Inst Technol Dept Comp Applicat Tiruchirappalli Tamil Nadu India

ISBN: (纸本)9781509066216

In centralized based IP surveillance architectures, the information pertaining to the event captured in each camera is sent to the master data base that is located in central control server. Later for crime or theft detection in surveillance region, the recorded data is accessed and analyzed. As on today,with ongoing acts of vandalism, it is highly essential for surveillance to be reactive rather than proactive. The objective is fulfilled by incorporating on board processing features such as face detection and recognition with in the sensor node(s).Soon person enters the vicinity of camera,features are captured, processed and then recognized with in the *** order to demonstrate this on board processing capability,we came up with a single Tier homogeneous sensor network design featuring the real time face recognition without using database(s) and also optimal transmission in the network using image dimensionality reduction *** order to assess the similarity in face recognition statistical measures like mean square error and correlation coefficient are taken for consideration and the system is tested and verified with a confidence level of 98% in a resource constrained environment.

关键词： visual sensor node on board processing image resizing similarity prediction

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Dual-Data Rate Transpose-Memory Architecture Improves the Performance, Power and Area of signal-processing Systems

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JOURNAL OF signal processing SYSTEMS FOR signal image AND VIDEO TECHNOLOGY 2017年第2期88卷 167-184页

作者： El-Hadedy, Mohamed Guo, Xinfei Margala, Martin Stan, Mircea R. Skadron, Kevin Univ Illinois Coordinated Sci Lab 1308 West Main St Urbana IL 61801 USA Univ Virginia Dept Comp Sci 85 Engineers WayPOB 400740 Charlottesville VA 22904 USA Univ Virginia Dept Elect & Comp Engn 351 McCormick Rd Charlottesville VA 22904 USA Univ Massachusetts Dept Elect & Comp Engn Ball Hall 301One Univ Ave Lowell MA 01854 USA

This paper presents a novel type of high-speed and area-efficient register-based transpose memory architecture enabled by reporting on both edges of the clock. The proposed new architecture, by using the double-edge triggered registers, doubles the throughput and increases the maximum frequency by avoiding some of the combinational circuit used in prior work. The proposed design is evaluated with both FPGA and ASIC flow in 28/32nm technology. The experimental results show that the proposed memory achieves almost 4X improvement in throughput while consuming 46 % less area with the FPGA implementations compared to prior work. For ASIC implementations, it achieves more than 60 % area reduction and at least 2X performance improvement while burning 60 % less power compared to other register-based designs implemented with the same flow. As an example, a proposed 8X8 transpose memory with 12-bit input/output resolution is able to achieve a throughput of 107.83Gbps at 647MHz by taking only 140 slices on a Virtex-7 Xilinx FPGA platform, and achieve a throughput of 88.2Gbps at 529MHz by taking 0.024mm(2) silicon area for ASIC. The proposed transpose memory is integrated in both 2D-DCT and 2D-IDCT blocks for signal processing applications on the same FPGA platform. The new architecture allows a 3.5X speed-up in performance for the 2D-DCT algorithm, compared to the previous work, while consuming 28 % less area, and 2D-IDCT achieves a 3X speed-up while consuming 20 % less area.

关键词： Transpose FPGA ASIC signal processing Adaptive systems

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Salient Object Detection Using Array images 9

Salient Object Detection Using Array Images

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9th Annual Summit and conference of the Asia-Pacific-signal-and-Information-processing-Association (APSIPA ASC)

作者： Li, Tingtian Lun, Daniel P. K. Hong Kong Polytech Univ Dept Elect & Informat Engn Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781538615423

Most existing saliency detection methods utilize low-level features to detect salient objects. In this paper, we first verify that the foreground objects in the scene can be an effective cue for saliency detection. We then propose a novel saliency detection algorithm which combines low level features with high level object detection results to enhance the performance. For extracting the foreground objects in a scene, we first make use of a camera array to obtain a set of images of the scene from different viewing angles. Based on the array images, we identify the feature points of the objects so as to generate the foreground and background feature point cues. Together with a new K-Nearest Neighbor model, a cost function is developed to allow a reliable and automatic segmentation of the foreground objects. The outliers in the segmentation are further removed by a low-rank decomposition method. Finally, the detected objects are fused with the low-level object features to generate the saliency map. Experimental results show that the proposed algorithm consistently gives a better performance compared to the traditional methods.

关键词： Feature extraction Saliency detection Cost function Cameras image segmentation Algorithm design and analysis Shape

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A VARIATIONAL PANSHARPENING APPROACH BASED ON REPRODUCIBLE KERNEL HILBERT SPACE AND HEAVISIDE FUNCTION 24

A VARIATIONAL PANSHARPENING APPROACH BASED ON REPRODUCIBLE K...

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24th IEEE International conference on image processing (ICIP)

作者： Deng, Liang-Jian Vivone, Gemine Guo, Weihong Dalla Mura, Mauro Chanussot, Jocelyn Univ Elect Sci & Technol China Sch Math Sci Chengdu 611731 Sichuan Peoples R China NATO STO CMRE La Spezia Italy Case Western Reserve Univ Cleveland OH 44106 USA Univ Grenoble Alpes CNRS GIPSA Lab F-38000 Grenoble France

ISBN: (纸本)9781509021758

In this paper, we propose a continuous modeling and sparse optimization based method for the fusion of a panchromatic (PAN) image and a multispectral (MS) image. The proposed model is mainly based on reproducing kernel Hilbert space (RKHS) and approximated Heaviside function (AHF). In addition, we also design an iterative strategy to recover more image details. The final model is a convex one and solved by the designed alternating direction method of multipliers (ADMM) which guarantees the convergence of the proposed method. Experimental results on two real datasets corresponding to different sensors and different resolutions demonstrate the effectiveness of the proposed approach as compared with several state-of-the-art pansharpening approaches.

关键词： Spatial resolution Sensors Distortion Kernel Multiresolution analysis image edge detection

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Optimal Band Selection of Multispectral Sensors for Wildfire Detection 7

Optimal Band Selection of Multispectral Sensors for Wildfire...

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Sensor signal processing for Defence conference (SSPD)

作者： He, Xiaoyu Xu, Xiaojian Beihang Univ Sch Elect & Informat Engn Beijing Peoples R China

ISBN: (纸本)9781538616635

The selection and definition of spectral bands are of great important in the design of multispectral sensors. In this paper, an optimal band selection strategy is proposed, considering the characteristics of the Earth surface, atmosphere, and targets as well as the influence of multispectral sensor system. Based on the spectral characteristics of the Earth surface and atmosphere, the spectral irradiances at sensor aperture from backgrounds and targets are calculated using an atmospheric radiative transfer model. Spectral response functions with different central wavelengths and bandwidths are used to calculate the intensity of the background and target radiations in specific bands. The contrasts of the targets to the backgrounds in these bands are analyzed to generate a two dimensional matrix. For a single target, the local maxima of the contrast matrix are selected as the optimal bands. When an optimal band is selected for multiple targets with different spectral characteristics, a scoring matrix is obtained for each target via grading the contrast matrix according to a specified threshold and the global maximum. The scoring matrices of all targets are integrated to generate an evaluation matrix where the local maxima correspond to the optimal central wavelengths and bandwidths. Optimal band selection of space-based multispectral sensors for wildfire detection is taken as an example to demonstrate the usefulness of the proposed strategy.

关键词： Band Selection Multispectral Sensors Contrast Analysis image simulation

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Innovative 3D Pixal Mapping Method for LED Holoscopic 3D Display 4

Innovative 3D Pixal Mapping Method for LED Holoscopic 3D Dis...

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4th International conference on signal processing and Integrated Networks (SPIN)

作者： Huang, Yizhou Swash, Mohammad Rafiq Sadka, Abdul Brunel Univ London Coll Engn Design & Phys Sci London England

ISBN: (纸本)9781509027972

LED displays become integral part of today's wall size screens and autostereoscopic 3D display offers 3D viewing without glasses. In particular, holoscopic 3D (H3D) display is a promising candidate that has no minimum and maximum viewing range as well as there is no confusion zone as a true 3D scene is reconstructed in space optically. There is a huge demand for wall size autostereoscopic 3D display in both entertainment and advertisement sectors. Previously, 3D pixel mapping methods are applied to LCD based 3D display to remap 3D pixel for enhancing 3D resolution. In this paper, an innovative 3D pixel mapping method is proposed for improving holoscopic 3D resolution in LED displays.

关键词： holoscopic 3D image holoscopic 3D display 3D pixel mapping 3D display LED display

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Automated Iris Localization for Radiotherapy Applications 25

Automated Iris Localization for Radiotherapy Applications

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25th signal processing and Communications Applications conference (SIU)

作者： Cavusculu, Melih Yetik, Imam Samil Yeginer, Mete TOBB Ekon & Teknol Univ Elekt & Elekt Muhendisligi Ankara Turkey Hacettepe Univ Radyasyon Onkol Anabilim Dali Ankara Turkey

ISBN: (纸本)9781509064946

Uveal melanoma is a type of tumor that can cause loss of vision, loss of organ or even metastasis and loss of life. Radiotherapy is considered to be the least harmful and successful treatment type among various treatment methods. Radiotherapy should be carried out sensitively without movements of the iris. Therefore, the procedure is mostly performed by local anesthesia. Unfortunately, eye anesthesia can cause complications;therefore alternative methods are gaining importance. In this article, a method is proposed that can track the eye with a camera and automatically detect blinking so that radiotherapy can be aborted. Thus, we will be able to apply radiotherapy without anesthesia and it will he possible to stop the radiotherapy automatically so that the iris is not damaged in case of blinking. The developed method has been tested under various lighting conditions and it has been observed that the method has a very successful performance.

关键词： image processing learning algorithms classification iris localization uveal melanoma

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Comparison of Matching Methods for Copy-Move image Forgery Detection 9th

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9th International conference on Robotic, Vision, signal processing and Power Applications (RoViSP)

作者： Al-Qershi, Osamah M. Khoo, Bee Ee Univ Sains Malaysia Sch Elect & Elect Engn George Town Malaysia

ISBN: (纸本)9789811017216;9789811017193

Copy-Move is one of the most common image forgery types, where a region of an image is copied and pasted into another location of the same image. Such a forgery is simple to achieve but hard to be detected as the pasted region shares the same characteristics with the image. Although plenty of algorithms have been proposed to tackle the copy-move detection problem, those algorithms differ in two things;matching method and type of features. In this paper, we focus on analyzing and comparing four matching methods in terms of accuracy and robustness against different image processing operations. Such analysis and comparison provide indispensable information for the design of new accurate and reliable copy-move detection techniques.

关键词： Copy-move Digital image forensics image forgery

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Column-wise ROIC design with on-chip calibration for photoresistive image sensor

Column-wise ROIC design with on-chip calibration for photore...

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2017 European conference on Circuit Theory and design, ECCTD 2017

作者： Ozmen, Cagatay Dirican, Aydin Nguyen, Hieu Margala, Martin Electrical and Computer Engineering University of Massachusetts LowellMA01854 United States

ISBN: (纸本)9781538639740

This paper describes a novel readout integrated circuit (ROIC) for a photoresistive image sensor array incorporating wheatstone bridge configuration with a variable-gain switched-capacitor amplifier. A 12-bit R-2R ladder digital-to-analog converter (DAC) is used for on-chip calibration. The bias voltage of the bridge is supplied by an on-chip DAC and made programmable between 0 to 1.8 Volts for ROIC performance optimization. This image sensor and ROIC system is intended to be used as an endoscope camera which demands strict silicon area and low power consumption requirements. A sample 1×16 line sensor is used for proof of concept. The ROIC is designed for the target of 30 frames per second output data rate for a 400×1 line sensor. This work focuses on the analog signal processing chain of the ROIC. The column-wise design makes the ROIC scalable for larger image sensor sizes. The nominal (base) resistance of each detector is assumed to have a variation of (±10%). The proposed ROIC is designed in 0.18μm CMOS process and the system is verified with post-layout simulations. © 2017 IEEE.

关键词： Digital to analog conversion

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