• Title/Summary/Keyword: Pixel pattern

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Integer Programming Models for the Design of Two-Dimensional Holographic Storage Modulation Code (2차원 홀로그래픽 변조부호 설계를 위한 정수계획법 모형)

  • Park, Taehyung;Lee, Jaejin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38A no.6
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    • pp.459-464
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    • 2013
  • In this paper, we introduce a modulation code design problem where best selection of two-dimensional codewords are determined to reduce two-dimensional (2D) intersymbol interference (ISI) and interpage interference (IPI). Codeword selection problem is formulated as a quadratic integer programming model that minimizes intra- and inter-symbol differences subject to uniform symbol usage and minimal Hamming distance violations. Second integer programming model detects the occurrence of isolated pixel pattern in the selected codewords. The proposed models are applied to 4-level and 2-level 6/8 codes.

Texture Cache with Automatical Index Splitting Based on Texture Size (텍스처의 크기에 따라 인덱스를 자동 분할하는 텍스처 캐시)

  • Kim, Jin-Woo;Park, Young-Jin;Kim, Young-Sik;Han, Tack-Don
    • Journal of Korea Game Society
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    • v.8 no.2
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    • pp.57-68
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    • 2008
  • Texture Mapping is a technique for adding realism to an image in 3D graphics Chip. Bilinear filtering mode of this technique needs accesses of 4 texels to process one pixel. In this paper we analyzed the access pattern of texture, and proposed the high performance texture cache which can access 4 texels simultaneously. We evaluated using simulation results of 3D game(Quake 3, Unreal Tournament 2004). Simulation results show that proposed texture cache has high performance on the case where physical size is less then or equal 8KBytes.

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Bolometer-Type Uncooled Infrared Image Sensor Using Pixel Current Calibration Technique (화소 전류 보상 기법을 이용한 볼로미터 형의 비냉각형 적외선 이미지 센서)

  • Kim, Sang-Hwan;Choi, Byoung-Soo;Lee, Jimin;Oh, Chang-woo;Shin, Jang-Kyoo;Park, Jae-Hyoun;Lee, Kyoung-Il
    • Journal of Sensor Science and Technology
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    • v.25 no.5
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    • pp.349-353
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    • 2016
  • Recently, research on bolometer-type uncooled infrared image sensor which is made for industrial applications has been increasing. In general, it is difficult to calibrate fixed pattern noise (FPN) of bolometer array. In this paper, average-current calibration algorithm is presented for reducing bolometer resistance offset. A resistor which is produced by standard CMOS process, on the average, has a deviation. We compensate for deviation of each resistor using average-current calibration algorithm. The proposed algorithm has been implemented by a chip which is consisted of a bolometer pixel array, average current generators, current-to-voltage converters (IVCs), a digital-to-analog converter (DAC), and analog-to-digital converters (ADCs). These bolometer-resistor array and readout circuit were designed and manufactured by $0.35{\mu}m$ standard CMOS process.

Two-Dimensional Non-isolated Pixel Modulation Code for Holographic Data Storage (홀로그래픽 저장 장치를 위한 2차원 고립 픽셀 제거 변조 부호)

  • Kim, Jin-Young;Lee, Jae-Jin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.2C
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    • pp.163-168
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    • 2009
  • In this paper, a two-dimensional (2D) modulation code is introduced. The proposed code does not have any isolated pixel that is the most unwanted problem for holographic data storage. The proposed 2D modulation code is simpler than conventional 6/8 code and removes all the isolated 2D ISI patterns. As a result, when the grade of blur is 1.4, the proposed modulation code has better performance overall than conventional 6/8 modulation code. The proposed code has the optimal performance when 4bit quantization is applied.

Direction Recognition of Tongue through Pixel Distribution Estimation after Preprocessing Filtering (전처리 필터링 후 픽셀 분포 평가를 통한 혀 방향 인식)

  • Kim, Chang-dae;Lee, Jae-sung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.73-76
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    • 2013
  • This paper proposes a tongue and its direction recognition algorithm which compares and estimates pixel distribution in the mouth area. As the size of smart phones grows, facial gesture control technology for a smart phone is required. Firstly, the nose area is detected and the mouth area is detected based on the ratio of the nose to mouth. After detecting the mouth area, it is divided by a pattern of grid and the distribution of pixels having the similar color to the tongue is tested for each segment. The recognition rate was nearly 80% in the experiments performed with five researchers among our laboratory members.

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A Study on Soil loss in Forest fire area (산불발생지역에서의 토양유실량에 관한 연구)

  • Yang, In-Tae;Park, Jae-Hoon;Chun, Ki-Sun
    • Journal of Korean Society for Geospatial Information Science
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    • v.11 no.2 s.25
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    • pp.11-16
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    • 2003
  • Soil loss by the rains has effect on natural environment. But It is difficult to find out the data that is surveyed in watershed. In this paper, we choose USLE erosion model, which could be connected easily with GSIS and available generally, and extracted factors which is entered model by using GSIS spatial analysis method. Especially, As revised USLE model, It should be applied in watershed and as it calculated soil loss before Idlest fire and behind, it analysed the degree that it have an effect on soil loss. As each analyzed factors and the result of soil loss estimate consist of 22m-pixel size, we could identify soil loss by each pixel and distribution pattern.

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Determination of Object Similarity Closure Using Shared Neighborhood Connectivity

  • Radhakrishnan, Palanikumar;Arokiasamy, Clementking
    • Journal of the Korea Convergence Society
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    • v.5 no.3
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    • pp.41-44
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    • 2014
  • Sequential object analysis are playing vital role in real time application in computer vision and object detections.Measuring the similarity in two images are very important issue any authentication activities with how best to compare two independent images. Identification of similarities of two or more sequential images is also the important in respect to moving of neighborhoods pixels. In our study we introduce the morphological and shared near neighborhoods concept which produces a sufficient results of comparing the two images with objects. Considering the each pixel compare with 8-connectivity pixels of second image. For consider the pixels we expect the noise removed images are to be considered, so we apply the morphological transformations such as opening, closing with erosion and dilations. RGB of pixel values are compared for the two sequential images if it is similar we include the pixels in the resultant image otherwise ignore the pixels. All un-similar pixels are identified and ignored which produces the similarity of two independent images. The results are produced from the images with objects and gray levels. It produces the expected results from our process.

Development on the Process Control System for Full Gate Visual Test of LCD Manufacturing Process (LCD 생산공정의 전게이트 시각 검사를 위한 공정 제어장치 개발)

  • Park, Hyoung-Keun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.7
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    • pp.1725-1728
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    • 2009
  • This research developed process control device and FGV pattern generating device essential for full gate visual inspection to improve process so that defect detection capability may be maximized in specified environment. The devices developed in this research, which can be swiftly replaced in case loss or error occurs, are anticipated to improve module yield as well as maintain tact loss near '0'. In addition, as a result of mounting H/W and S/W system to control detailed operation sequence in production line and executing performance check and verification, detection rates were 98.1% and 99.1% respectively for pixel defect by tact and line defect, and yield of the entire module process including gate and visual level test increased up to 98.3%.

Robust Facial Expression Recognition Based on Local Directional Pattern

  • Jabid, Taskeed;Kabir, Md. Hasanul;Chae, Oksam
    • ETRI Journal
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    • v.32 no.5
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    • pp.784-794
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    • 2010
  • Automatic facial expression recognition has many potential applications in different areas of human computer interaction. However, they are not yet fully realized due to the lack of an effective facial feature descriptor. In this paper, we present a new appearance-based feature descriptor, the local directional pattern (LDP), to represent facial geometry and analyze its performance in expression recognition. An LDP feature is obtained by computing the edge response values in 8 directions at each pixel and encoding them into an 8 bit binary number using the relative strength of these edge responses. The LDP descriptor, a distribution of LDP codes within an image or image patch, is used to describe each expression image. The effectiveness of dimensionality reduction techniques, such as principal component analysis and AdaBoost, is also analyzed in terms of computational cost saving and classification accuracy. Two well-known machine learning methods, template matching and support vector machine, are used for classification using the Cohn-Kanade and Japanese female facial expression databases. Better classification accuracy shows the superiority of LDP descriptor against other appearance-based feature descriptors.

Detection Algorithm of Lenslet Array Spot Pattern for Acquisition of Laser Wavefront (레이저 파면 획득용 Lenslet Array 점 패턴 검출 알고리즘)

  • Lee, Jae-Il;Lee, Young-Cheol;Huh, Joon
    • Journal of the Korea Institute of Military Science and Technology
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    • v.8 no.4 s.23
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    • pp.110-119
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    • 2005
  • In this paper, a new detection algorithm was proposed for finding the position of lenslet array spot pattern used to acquire laser wavefront. Based on the analysis of the required signal processing characteristics, we categorized into and designed four main signal processing functions. The proposed was designed in order to have robust feature against a variation of geometrical form of the spot and also implemented to have semi-automatic thresholding capability based on CCD noise analysis. For performance evaluation, we made qualitative and quantitative comparisons with Carvalho's algorithm which has been published in recent. In the given experimental spot images, the proposed could detect the spots which has 1/3 times lower than the least S/N of which Carvalho's can detect and could reach to a detection precision of 0.1 pixel at the S/N. In functional aspect, the proposed could separate all valid spots locally. From these results, the proposed could have a superior precision of location detection of spot pattern in wider S/N range.