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Research on a New image processing algorithm and Its Reliability

AGRO FOOD INDUSTRY HI-TECH 2017年第1期28卷 56-59页

作者： Yang, Dawei Shenyang Ligong Univ Shenyang Liaoning Peoples R China

Computer-based image processing to meet psychological, visual effect and other requirements is the premise of use of image processing algorithms at present. image processing is one of expression forms of signal processing in the image field and has characteristics of digital features, image storage and editing. In other words, image processing refers to digital image processing in most cases. Traditional signal image processing method will be used in image processing directly. However, the new image processing algorithm will make various operations to the image through various algorithms (e.g. noise reduction and quantization), aiming to realize post-processing of the image and specific functions. On this basis, theory and application of image processing algorithms were introduced in this paper. An algorithm that combines accurate motion estimation and transform coding was proposed based on traditional algorithm, and the operated. The following test indicated that the proposed new algorithm has a promising application prospect in practice.

关键词： image processing algorithm reliability internet images research establishment

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An image processing algorithm for Detection and Tracking of Aerial Vehicles

An Image Processing Algorithm for Detection and Tracking of ...

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IEEE Conference on Decision and Control

作者： Sungwook Cho Sungsik Huh Hyong Sik Choi David Hyunchul Shim Department of Aerospace Engineering KAIST Daejeon South Korea Korea Aerospace Research Institute (KARI) Daejeon South Korea

ISBN: (纸本)9781612848006

This paper proposes an image processing algorithm for detection and tracking of aerial vehicles in sight. The proposed algorithm detects moving objects using the image homography calculated from a video stream taken from the onboard camera and determines whether the detected objects are approaching aerial vehicles by the Probabilistic Multi- Hypothesis Tracking (PMHT) method. This algorithm performs well especially when it is needed to detect any approaching aircraft seen with cluttered background. Further, our algorithm is suitable for real flight application as it is less sensitive to light conditions or color variations. The performance of the proposed algorithm is validated by applying it to the onboard video clips taken during actual flights using two unmanned aerial vehicles.

关键词： vehicle image processing algorithm tracking video clips

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Evaluation of parallelization of an image processing algorithm for an embedded multicore platform using manual parallelization and the OpenMP parallel framework

Evaluation of parallelization of an image processing algorit...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Richard Prokesch Safety and Security Department High Performance Image Processing Austrian Institute of Technology GmbH

ISBN: (纸本)9781479902255

In this paper manual parallelization is compared with parallelization using the Open Multi-processing (OpenMP) software framework on an embedded eight core Digital Signal Processor (DSP) developed by Texas Instruments. In order to compare these two methods an in-house developed 2D image registration algorithm is parallelized. Furthermore considerations regarding the parallelization on this DSP are presented. Finally both parallelization methods in respect of performance and real time behavior are measured and analyzed.

关键词： Digital signal processor Embedded system image processing algorithm Manual parallelization OpenMP Performance comparison image processing algorithm parallelization Embedded systems Digital signal processors Digital signal processing Desmoplakin Gene

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An algorithm for cross-fiber separation in yarn hairiness image processing

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VISUAL COMPUTER 2024年第5期40卷 3591-3599页

作者： Deng, Zhongmin Yu, Ling Wang, Lijing Ke, Wei Wuhan Text Univ State Key Lab New Text Mat & Adv Proc Technol Wuhan 430200 Hubei Peoples R China RMIT Univ Sch Fash & Text 25 Dawson St Brunswick Vic 3056 Australia

Yarn hairiness affects yarn and fabric quality. The existing hairiness detection methods cannot discriminate crossover fibers or hairs. In order to accurately separate and detect crossover fibers, an algorithm of separating crossover hairs is proposed. By obtaining refined hair skeletons after image pretreatment, the positions of fiber intersection point were determined, and a hair information table according to the characteristics of the hair cross-point was constructed. After classifying each hair branch skeleton and screening out the hair common skeleton, the branch hair matching table by using the two end points of the true common hair skeleton adjacent to the hair branch was constructed. Through pairing the same cross-hair branch with the principle of the closest slope at the adjacent cross-end, each complete cross-hair skeleton was defined for hair count in a field of view. The detection results show that compared with the existing photoelectric hairiness detection instrument, the algorithm can realize the crossover hair separation, and calculate the length of complete crossover hairs and curved hairs with high accuracy. On average, the developed algorithm measures hair length about 11.1% longer than the manually measured results, while commercial apparatus would report hair length 62.5% shorter than the actual hair length.

关键词： Yarn hairiness measurement Cross-fiber separation image processing algorithm Hairiness information table

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An Enhancement algorithm Based on Fuzzy Sets algorithm Using Computer Vision System for Chip image processing

An Enhancement Algorithm Based on Fuzzy Sets Algorithm Using...

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International Conference on Soft Computing Techniques and Engineering Application (ICSCTEA)

作者： Tan, Chengxiang Yang, Lina Li, Xichun Guangxi Normal Univ Nationalities Chongzuo 532200 Guangxi Peoples R China

ISBN: (纸本)9788132216957;9788132216940

In industry, chip vision-based detection system cannot detect the dots and shatter within 2 pixels. In the process of chip image detection, image processing algorithm has great influence on the effectiveness and accuracy of detection and recognition. Among them, the image enhancement and edge extraction are the primary characteristics. The classical edge extraction methods mainly include Prewitt operator, Sobel operator, and traditional canny operator. By using these, the processing speed is fast and simple, but to shatter edge extraction is not efficient. In this paper, an enhancement algorithm based on fussy sets algorithm for the chip image processing is presented. We expect that the proposed algorithm can improve the detection accuracy within 2 pixels and improve the processing efficiency.

关键词： image processing algorithm image enhancement Edge detection Computer vision detection Fuzzy sets

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Multiscale Anisotropic Texture Analysis and Classification of Photographic Prints Art scholarship meets image processing algorithms

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IEEE SIGNAL processing MAGAZINE 2015年第4期32卷 18-27页

作者： Abry, Patrice Roux, Stephane G. Wendt, Herwig Messier, Paul Klein, Andrew G. Tremblay, Nicolas Borgnat, Pierre Jaffard, Stephane Vedel, Beatrice Coddington, Jim Daffner, Lee Ann Ecole Normale Super Lyon CNRS Lyon France Ecole Normale Super Lyon Lyon France CNRS F-75700 Paris France Yale Univ Lens Media Lab New Haven CT USA Western Washington Univ Engn & Design Bellingham WA 98225 USA Univ Paris Est Creteil Math Creteil France French Math Soc Lyon France Univ Bretagne Sud Appl Math Lorient France Museum Modern Art New York NY USA Museum Modern Art Photog Collect New York NY USA

Texture characterization of photographic prints can provide scholars with valuable information regarding photographers? aesthetic intentions and working practices. Currently, texture assessment is strictly based on the visual acuity of a range of scholars associated with collecting institutions, such as museum curators and conservators. Natural interindividual discrepancies, intraindividual variability, and the large size of collections present a pressing need for computerized and automated solutions for the texture characterization and classification of photographic prints. In the this article, this challenging image processing task is addressed using an anisotropic multiscale representation of texture, the hyperbolic wavelet transform (HWT), from which robust multiscale features are constructed. Cepstral distances aimed at ensuring balanced multiscale contributions are computed between pairs of images. The resulting large-size affinity matrix is then clustered using spectral clustering, followed by a Ward linkage procedure. For proof of concept, these procedures are first applied to a reference data set of historic photographic papers that combine several levels of similarity and second to a large data set of culturally valuable photographic prints held by the Museum of Modern Art in New York. The characterization and clustering results are interpreted in collaboration with art scholars with an aim toward developing new modes of art historical research and humanities-based collaboration.

关键词： image processing algorithm Chloride prints Scholarships Arts

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FAST LOCAL image-processing algorithmS USING RECURSIVE COMPUTATION

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CYBERNETICS AND SYSTEMS ANALYSIS 1994年第1期30卷 121-130页

作者： PALENICHKA, RM LUTSYK, AY

Most image and signal processing algorithms are local algorithms, regardless of the specific physical nature of the images and signals. Because of the strong correlation of operations required to determine two neighboring elements, image processing can be substantially accelerated by using fast algorithms. Some considerations regarding the construction of such algorithms on the basis of recursive computation have been examined in this paper. The development of specific algorithms for fast local image processing requires further work, because we still do not have the explicit form of the algorithm for the determination of a general local function.

关键词： Signal processing algorithms arithmetic image processing algorithms images Recursive Fasting image processing algorithm

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Predictability of image processing algorithms on Heterogeneous MPSoC 13

Predictability of Image Processing Algorithms on Heterogeneo...

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13th IEEE Symposium on Embedded Systems for Real-Time Multimedia (ESTIMedia)

作者： Paul, Johny Stechele, Walter Tech Univ Munich Inst Integrated Syst D-80290 Munich Germany

ISBN: (纸本)9781467381642

Multiprocessor System-on-Chip (MPSoC) designs offer a lot of computational power assembled in a compact design. The computing power of MPSoCs can be further augmented by adding heterogeneous processing elements, e.g. massively parallel processor arrays (MPPA) and specialized hardware with instruction-set extensions. However, the presence of multiple processing elements (PEs) with different characteristics raises issues related to programming and application mapping. The conventional approach used for programming heterogeneous MPSoCs results in a static mapping of various parts of the application to different PE types, based on the nature of the algorithm and the structure of the PEs. Yet, such a mapping scheme independent of the instantaneous load on the PEs may lead to under-utilization of some type of PEs while overloading others. We investigate the benefits of a resource-aware programming model called Invasive Computing for dynamically mapping image processing applications to different types of PEs available on a heterogeneous MPSoC. A case study of visual object recognition is presented, including Harris corner detection and SIFT feature matching. Results indicate that resource-aware programming helps to predict the latency of the application program along with better overall workload distribution within the heterogeneous MPSoC.

关键词： Adaptation models algorithm design and analysis Computer architecture Feature extraction Object recognition Programming System-on-chip object recognition Programming algorithm design and analysis system-on-chip Computer Architecture Feature extraction image processing algorithm Adaptation models Utility routines computational power transient loads

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HNCP-II: A 16-core 65nm microprocessor ASIC for image processing algorithms

HNCP-II: A 16-core 65nm microprocessor ASIC for image proces...

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9th International Symposium on Reconfigurable and Communication-Centric Systems-on-Chip (ReCoSoC)

作者： Boussadi, Mohamed Amine Tixier, Thierry Landrault, Alexis Derutin, Jean-Pierre Inst Pascal UMR 6602 CNRS UBP IFMA F-63171 Aubiere France

ISBN: (纸本)9781479958108

In many video and image processing applications, complexity has reached a point where the performance requirements can no longer be supported by standard architectures based on a single processor. This is why many systems are based on multiprocessor architecture. In this paper, we present HNCP-II a 16-core flexible distributed memory ASIC dedicated to embedded application field (image processing applications). Connected through a torus on-chip network, each tile of the overall system includes an open-source RISC processor, a floating point unit, a video management module and a set of built in hardware features for multicore communication. This specific hardware enables to meet most relevant overall parallelism scheme (parallel skeletons) thanks to software-configurable modules. Results are presented for two image processing algorithms in term of execution time, speedup and efficiency. Area, power and timing performance of the synthesized ASIC are given for a CMOS 65nm technology node.

关键词： image processing algorithm network-on-chip application specific integrated circuits ASIC Uniprocessor Tile toruses macroprocessor MULTIPROCESSOR ARCHITECTURE

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Evaluation of image processing algorithms on Vehicle Safety System Based on Free-viewpoint image Rendering

Evaluation of Image Processing Algorithms on Vehicle Safety ...

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IEEE Intelligent Vehicles Symposium (IV)

作者： Oko, Akitaka Sato, Tomokazu Kume, Hideyuki Machida, Takashi Yokoya, Naokazu Honda Motor Co Ltd Hamamatsu Shizuoka Japan Nara Inst Sci & Technol Graduate Sch Informat Sci Nara Japan Toyota Cent Res & Dev Labs Inc Aichi Japan

ISBN: (纸本)9781479936373

Development of algorithms for vehicle safety systems, which support safety driving, takes a long period of time and a huge cost because it requires an evaluation stage where huge combinations of possible driving situations should be evaluated by using videos which are captured beforehand in real environments. In this paper, we address this problem by using free viewpoint images instead of the real images. More concretely, we generate free-viewpoint images from a combination of a 3D point cloud measured by laser scanners and an omni-directional image sequence acquired in a real environment. We basically rely on the 3D point cloud for geometrically correct virtual viewpoint images. In order to remove the holes caused by the unmeasured region of the 3D point cloud and to remove false silhouettes in surface reconstruction, we have developed a technique of free-viewpoint image generation that uses both a 3D point cloud and depth information extracted from images. In the experiments, we have evaluated our framework with a white line detection algorithm and experimental results have shown the applicability of free-viewpoint images for evaluation of algorithms.

关键词： Cameras image reconstruction Rendering (computer graphics) Surface reconstruction Three-dimensional displays Vehicle safety three-dimensional displays Surface reconstruction safety system image reconstruction Cameras image processing algorithm images graphic rendering CLOUDS Clouds Defensive driving

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