• Title/Summary/Keyword: Binary image

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Adaptive Real-Time Ship Detection and Tracking Using Morphological Operations

  • Arshad, Nasim;Moon, Kwang-Seok;Kim, Jong-Nam
    • Journal of information and communication convergence engineering
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    • v.12 no.3
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    • pp.168-172
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    • 2014
  • In this paper, we propose an algorithm that can efficiently detect and monitor multiple ships in real-time. The proposed algorithm uses morphological operations and edge information for detecting and tracking ships. We used smoothing filter with a $3{\times}3$ Gaussian window and luminance component instead of RGB components in the captured image. Additionally, we applied Sobel operator for edge detection and a threshold for binary images. Finally, object labeling with connectivity and morphological operation with open and erosion were used for ship detection. Compared with conventional methods, the proposed method is meant to be used mainly in coastal surveillance systems and monitoring systems of harbors. A system based on this method was tested for both stationary and non-stationary backgrounds, and the results of the detection and tracking rates were more than 97% on average. Thousands of image frames and 20 different video sequences in both online and offline modes were tested, and an overall detection rate of 97.6% was achieved.

Region-Based Facial Expression Recognition in Still Images

  • Nagi, Gawed M.;Rahmat, Rahmita O.K.;Khalid, Fatimah;Taufik, Muhamad
    • Journal of Information Processing Systems
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    • v.9 no.1
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    • pp.173-188
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    • 2013
  • In Facial Expression Recognition Systems (FERS), only particular regions of the face are utilized for discrimination. The areas of the eyes, eyebrows, nose, and mouth are the most important features in any FERS. Applying facial features descriptors such as the local binary pattern (LBP) on such areas results in an effective and efficient FERS. In this paper, we propose an automatic facial expression recognition system. Unlike other systems, it detects and extracts the informative and discriminant regions of the face (i.e., eyes, nose, and mouth areas) using Haar-feature based cascade classifiers and these region-based features are stored into separate image files as a preprocessing step. Then, LBP is applied to these image files for facial texture representation and a feature-vector per subject is obtained by concatenating the resulting LBP histograms of the decomposed region-based features. The one-vs.-rest SVM, which is a popular multi-classification method, is employed with the Radial Basis Function (RBF) for facial expression classification. Experimental results show that this approach yields good performance for both frontal and near-frontal facial images in terms of accuracy and time complexity. Cohn-Kanade and JAFFE, which are benchmark facial expression datasets, are used to evaluate this approach.

Fast Face Gender Recognition by Using Local Ternary Pattern and Extreme Learning Machine

  • Yang, Jucheng;Jiao, Yanbin;Xiong, Naixue;Park, DongSun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.7
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    • pp.1705-1720
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    • 2013
  • Human face gender recognition requires fast image processing with high accuracy. Existing face gender recognition methods used traditional local features and machine learning methods have shortcomings of low accuracy or slow speed. In this paper, a new framework for face gender recognition to reach fast face gender recognition is proposed, which is based on Local Ternary Pattern (LTP) and Extreme Learning Machine (ELM). LTP is a generalization of Local Binary Pattern (LBP) that is in the presence of monotonic illumination variations on a face image, and has high discriminative power for texture classification. It is also more discriminate and less sensitive to noise in uniform regions. On the other hand, ELM is a new learning algorithm for generalizing single hidden layer feed forward networks without tuning parameters. The main advantages of ELM are the less stringent optimization constraints, faster operations, easy implementation, and usually improved generalization performance. The experimental results on public databases show that, in comparisons with existing algorithms, the proposed method has higher precision and better generalization performance at extremely fast learning speed.

Development of a Novel System for Measuring Sizing Degree Based on Contact Angle(I) - Development of a Novel Principle for Automatic Measurement of Contact Angle - (접촉각 측정 원리를 이용한 새로운 사이즈도 측정기 (제1보) -자동 접촉각 측정 원리의 개발 -)

  • 이찬용;김철환;최경민;박종열;권오철
    • Journal of Korea Technical Association of The Pulp and Paper Industry
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    • v.35 no.3
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    • pp.43-52
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    • 2003
  • The new principle to measure a sizing degree by a contact angle was developed using an automatic determination of the 3-end point coordinates of the water droplet on a sheet, which could diminish the operator's bias during measurement. A constant amount of water was first placed on a sample sheet by a water dispenser, and then an image of the liquid droplet was captured by a digital camera and then transmitted to a computer. The program measuring for contact angle extracted a liquid contour by Gaussian function combined with a 8-direction chain code. The Euclidean equation was applied to the binary image of the liquid contour in order to measure the diameter of the contour. Finally, the contact angle of the liquid was calculated by using the diameter and the top coordinates. In addition, a surface free energy of the sample sheet and an elapsed time taken up to the complete absorption into the sheet were simultaneously measured with the contact angle.

Multi-resolution Motion Estimation Algorithm Using Adaptive Search Region (적응적 탐색영역을 이용한 다중해상도 움직임 추정 방법)

  • 최정현;이경환;이법기;정원식;정태연;김덕규
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.8B
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    • pp.1540-1548
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    • 1999
  • We propose a multi-resolution motion estimation algorithm using adaptive search region. It is constructed in wavelet domain that a binary plane which represents the potential motion areas(PMA's) based on the temporal redundancy between video frames, and motion estimation is processed in the PMA's. We reduce the PMA's gradually as the resolution level is higher, considering the distribution of the energy in subband layers and the complexity. As compared with EMRME(enhanced multi-resolution motion estimation) method[7], simulation results show that computational amount and bit rate reduced to about 33 ~46 % and 10 ~l8% respectively in active image with similar PSNR, and computational amount reduced to about 37 ~65 % in small notion image with similar PSNR and bit rate.

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Real Time System Realization for Binocular Eyeball Tracking Mouse (실시간 쌍안구 추적 마우스 시스템 구현에 관한 연구)

  • Ryu Kwang-Ryol;Choi Duck-Hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.9
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    • pp.1671-1678
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    • 2006
  • A real time system realization for binocular eyeball tracking mouse on the computer monitor being far from 30-40cm is presented in the paper. The processing for searching eyeball and tracking the cursor are that a facial image is acquired by the small CCD camera, convert it into binary image, search for the eye two using the five region mask method in the eye surroundings and the side four points diagonal positioning method is searched the each iris. The tracking cursor is matched by measuring the iris central moving position. The cursor controlling is achieved by comparing two related distances between the iris maximum moving and the cursor moving to calculate the moving distance from gazing position and screen. The experimental results show that the binocular eyeball mouse system is simple and fast to be real time.

Extraction Of Dashed Line Information On Maps Using Visual Mechanism (시각매카니즘을 이용한 지도에서의 파선정보추출기구의 제안)

  • Park, Si-Dong;Kim, Wook-Hyun
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.1
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    • pp.170-177
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    • 1996
  • In this paper, we propose a neural network for extracting dashed lines from map images based on the feature extracting path be found in a cat and monkey's visual cortex. The proposed system converts a color image to a binary image and extracts the lines per orientation. Next, the system removes the lines longer than the dashed line and extracts the dashed lines by finding the consecutive short lines. The proposed system for extracting the dashed lines was tested using 1/25,000 scaled maps published by the National Geographic Institute of Korea. This paper shows that the proposed system can extract the dashed-lines from maps.

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A Comparison Algorithm of Rectangularly Partitioned Regions (직사각형으로 분할된 영역 비교 알고리즘)

  • Jung, Hae-Jae
    • Convergence Security Journal
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    • v.6 no.2
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    • pp.53-60
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    • 2006
  • In the applications such as CAD or image processing, a variety of geometric objects are manipulated. A polygon in which all the edges are parallel to x- or y-axis is decomposed into simple rectangles for efficient handling. But, depending on the partitioning algorithms, the same region can be decomposed into a completely different set of rectangles in the number, size and shape of rectangles. So, it is necessary an algorithm that compares two sets of rectangles extracted from two scenes such as CAD or image to see if they represent the same region. This paper proposes an efficient algorithm that compares two sets of rectangles. The proposed algorithm is not only simpler than the algorithm based on sweeping method, but also reduces the number $O(n^2)$ of overlapped rectangles from the algorithm based on a balanced binary tree to O(nlogn).

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The Pattern Segmentation of 3D Image Information Using FCM (FCM을 이용한 3차원 영상 정보의 패턴 분할)

  • Kim Eun-Seok;Joo Ki-See
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.5
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    • pp.871-876
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    • 2006
  • In this thesis, to accurately measure 3D face information using the spatial encoding patterns, the new algorithm to segment the pattern images from initial face pattern image is proposed. If the obtained images is non-homogeneous texture and ambiguous boundary pattern, the pattern segmentation is very difficult. Furthermore. the non-encoded areas by accumulated error are occurred. In this thesis, the FCM(fuzzy c-means) clustering method is proposed to enhance the robust encoding and segmentation rate under non-homogeneous texture and ambiguous boundary pattern. The initial parameters for experiment such as clustering class number, maximum repetition number, and error tolerance are set with 2, 100, 0.0001 respectively. The proposed pattern segmentation method increased 8-20% segmentation rate with conventional binary segmentation methods.

A Study on the Holographic Optical Element for Multiple Image Processing (다중 영상처리용 홀로그래피 광학소자에 관한 연구)

  • Kim, Nam
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.17 no.12
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    • pp.1353-1361
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    • 1992
  • Holographic optical element(HOE) is fabricated with the properties of lightweight, thin thickness and interconnectivity for free space. Particularly, HOE for optical interconnection and multiple image processing should have a high efficiency and equal spot intensity, Nonlinear equations for 2-dimensional binary phase grating(BPG) structure is solved by computer simulation based on modified Newton method. Computer-generated pattern drawn by plotter is scaled down and translated into the microfilm. After contact printing between the microfilm and silver halide hologram film, phase diffraction grating produces the $5{\times}5$ multiple spots. Experimental results are shown that bleached phase grating has a high efficiency and equal focused beams except central zero order.

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