• Title/Summary/Keyword: Image processing method

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Raining Image Enhancement and Its Processing Acceleration for Better Human Detection (사람 인식을 위한 비 이미지 개선 및 고속화)

  • Park, Min-Woong;Jeong, Geun-Yong;Cho, Joong-Hwee
    • IEMEK Journal of Embedded Systems and Applications
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    • v.9 no.6
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    • pp.345-351
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    • 2014
  • This paper presents pedestrian recognition to improve performance for vehicle safety system or surveillance system. Pedestrian detection method using HOG (Histograms of Oriented Gradients) has showed 90% recognition rate. But if someone takes a picture in the rain, the image may be distorted by rain streaks and recognition rate goes down by 62%. To solve this problem, we applied image decomposition method using MCA (Morphological Component Analysis). In this case, rain removal method improves recognition rate from 62% to 70%. However, it is difficult to apply conventional image decomposition method using MCA on vehicle safety system or surveillance system as conventional method is too slow for real-time system. To alleviate this issue, we propose a rain removal method by using low-pass filter and DCT (Discrete Cosine Transform). The DCT helps separate the image into rain components. The image is removed rain components by Butterworth filtering. Experimental results show that our method achieved 90% of recognition rate. In addition, the proposed method had accelerated processing time to 17.8ms which is acceptable for real-time system.

Sketch Style Effect using Spatial Filter (공간 필터를 이용한 스케치 스타일 효과)

  • Kim, Seung-Wan;Gwun, Ou-Bong
    • The Journal of the Korea Contents Association
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    • v.9 no.12
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    • pp.86-93
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    • 2009
  • In this paper, we propose a method that generates a sketch likely to be drawn by a human from a real image(a computer generated image or a photo image). The method can create human friendly images with pen strokes by using image processing techniques such as spatial filters. In order to create the human friendly image, first, we made the tiny unnecessary contours. Second, we made the second image by inverting the first image and performed a processing similar to the first processing. Last, we subtracted the second image from the first image and added a hatch to it. The sequence of processing enables us to generate a human friendly image with line shading, likely to be sketched by water pen compared to the past method(pencil hatching and sketch effects). Also the proposed method can represent the sketch effects more effectively with applying different hatch to the shading area of a input image.

Accuracy of Intersection Counting Method in Measurement of Fiber Orientation Angle Distribution Using Image Processing (화상처리에 의한 섬유배향각 분포측정에 있어서 교차점합산법의 정밀도)

  • 이상동;박준식;이동기;한길영;김이곤
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.12
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    • pp.97-105
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    • 1998
  • The fiber oriented condition inside fiber reinforced composite material is a basic factor of mechanical properties of composite materials. It is very important to meausure the fiber orientation angle for the determination of molding conditions, mechanical characteristics, and the design of composite materials. In the work, the fiber orientation distribution of simulation figure plotted by PC is measured using image processing in order to examine the accuracy of intersection counting method. The fiber orientation function measured by intersection counting method using image processing is compared with the calculated fiber orientation function. The results show that the measured value of fiber orientation function using intersection counting method is lower than the calculated value, because the number of intersection between the scanning line and the fiber with smaller fiber aspect ratio is counted less than with larger fiber aspect ratio.

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Image Processing Processor Design for Artificial Intelligence Based Service Robot (인공지능 기반 서비스 로봇을 위한 영상처리 프로세서 설계)

  • Moon, Ji-Youn;Kim, Soo-Min
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.4
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    • pp.633-640
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    • 2022
  • As service robots are applied to various fields, interest in an image processing processor that can perform an image processing algorithm quickly and accurately suitable for each task is increasing. This paper introduces an image processing processor design method applicable to robots. The proposed processor consists of an AGX board, FPGA board, LiDAR-Vision board, and Backplane board. It enables the operation of CPU, GPU, and FPGA. The proposed method is verified through simulation experiments.

Enhanced Image Magnification Using Edge Information (에지정보를 이용한 개선된 영상확대기법)

  • Je, Sung-Kwan;Cho, Jae-Hyun;Cha, Eui-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.12
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    • pp.2343-2348
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    • 2006
  • Image magnification is among the basic image processing operations. The most commonly used technique for image magnification are based on interpolation method(such as nearest neighbor, bilinear and cubic interpolation). However, the magnified images produced by the techniques that often appear a variety of undesirable image artifacts such as 'blocking' and 'blurring' or too takes the processing time into the several processing for image magnification. In this paper, we propose image magnification method which uses input image's sub-band information such as edge information to enhance the image magnification method. We use the whole image and not use the one's neighborhood pixels to detect the edge information of the image that isn't occurred the blocking phenomenon. And then we emphasized edge information to remove the blurring phenomenon which incited of edge information. Our method, which improves the performance of the traditional image magnification methods in the processing time, is presented. Experiment results show that the proposed method solves the drawbacks of the image magnification such as blocking and blurring phenomenon, and has a higher PSNR and Correlation than the traditional methods.

Enhancement of Displacement Resolution of Vibration Data Measured by using Camera Images (카메라 영상을 이용한 진동변위 측정 시 측정해상도 향상 기법)

  • Son, Ki-Sung;Jeon, Hyeong-Seop;Han, Soon Woo;Park, Jong Won
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.24 no.9
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    • pp.716-723
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    • 2014
  • Vibration measurement using image processing is a fully non-contact measurement method and has many application fields. The resolution of vibration data measured by image processing depends on the camera performance and is lower than that measured by accelerometers. This work discusses the method to increase resolution of vibration signal measured by image processing based on the image mosaic technique with a high-power lens. The working principle of resolution enhancement was explained theoretically and verified by several experiments. It was shown that the proposed method can measure vibrations of relatively large scale structures with increased resolutions.

Stroke Width-Based Contrast Feature for Document Image Binarization

  • Van, Le Thi Khue;Lee, Gueesang
    • Journal of Information Processing Systems
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    • v.10 no.1
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    • pp.55-68
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    • 2014
  • Automatic segmentation of foreground text from the background in degraded document images is very much essential for the smooth reading of the document content and recognition tasks by machine. In this paper, we present a novel approach to the binarization of degraded document images. The proposed method uses a new local contrast feature extracted based on the stroke width of text. First, a pre-processing method is carried out for noise removal. Text boundary detection is then performed on the image constructed from the contrast feature. Then local estimation follows to extract text from the background. Finally, a refinement procedure is applied to the binarized image as a post-processing step to improve the quality of the final results. Experiments and comparisons of extracting text from degraded handwriting and machine-printed document image against some well-known binarization algorithms demonstrate the effectiveness of the proposed method.

Drop Size Measurement using Image Processing Method under High Ambient Pressure Condition (고압환경에서 이미지 프로세싱 기법을 이용한 액적크기 측정)

  • Lim Byoungjik;Khil Taeock;Jung Kihoon;Yoon Youngbin
    • 한국가시화정보학회:학술대회논문집
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    • 2003.11a
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    • pp.111-114
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    • 2003
  • Drop size is one of the most important parameters which are control the performance of the engine using liquid fuel/oxidizer and drop formation is mainly controlled by aerodynamic force caused by ambient gas. Because of this, empirical data and correlation acquired under standard ambient condition are not valid. So experiments under high ambient pressure condition to measure the drop size using image processing method And find the empirical correlation between SMD and chamber pressure(density), injection velocity.

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Super-Resolution Image Processing Algorithm Using Hybrid Up-sampling (하이브리드 업샘플링을 이용한 베이시안 초해상도 영상처리)

  • Park, Jong-Hyun;Kang, Moon-Gi
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.2
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    • pp.294-302
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    • 2008
  • In this paper, we present a new image up-sampling method which registers low resolution images to the high resolution grid when Bayesian super-resolution image processing is performed. The proposed up-sampling method interpolates high-resolution pixels using high-frequency data lying in all the low resolution images, instead of up-sampling each low resolution image separately. The interpolation is based on B-spline non-uniform re-sampling, adjusted for the super-resolution image processing. The experimental results demonstrate the effects when different up-sampling methods generally used such as zero-padding or bilinear interpolation are applied to the super-resolution image reconstruction. Then, we show that the proposed hybird up-sampling method generates high-resolution images more accurately than conventional methods with quantitative and qualitative assess measures.

Metadata Processing Technique for Similar Image Search of Mobile Platform

  • Seo, Jung-Hee
    • Journal of information and communication convergence engineering
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    • v.19 no.1
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    • pp.36-41
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    • 2021
  • Text-based image retrieval is not only cumbersome as it requires the manual input of keywords by the user, but is also limited in the semantic approach of keywords. However, content-based image retrieval enables visual processing by a computer to solve the problems of text retrieval more fundamentally. Vision applications such as extraction and mapping of image characteristics, require the processing of a large amount of data in a mobile environment, rendering efficient power consumption difficult. Hence, an effective image retrieval method on mobile platforms is proposed herein. To provide the visual meaning of keywords to be inserted into images, the efficiency of image retrieval is improved by extracting keywords of exchangeable image file format metadata from images retrieved through a content-based similar image retrieval method and then adding automatic keywords to images captured on mobile devices. Additionally, users can manually add or modify keywords to the image metadata.