• Title/Summary/Keyword: editing algorithm

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Human Friendly Recognition and Editing Support System of Korean Language (인간에게 친밀한 한글 인식 및 편집 지원시스템)

  • Sohn, Young-Sun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.4
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    • pp.494-499
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    • 2007
  • In this paper we realized a system, if a user selects the area of the important parts or the arrangement parts when he reads the books or the papers, which amends, stores and readjusts the characters that are included in the selected area by outputting the characters to the word processor in sequence. If a user selects what he wishes lot with his finger, the system detects the movement of the finger by applying the hand recognition algorithm and recognizes the selected area. The system converts the distance of the width and the length of the selected area to the number of the pulse, and controls the motor to move the camera at the position. After the system scales up/down the zoom to be able to recognize the character and controls the focus to the regulated zoom closely, it controls the focus in detail to get more distinct image by using the difference of the light and darkness. We realize the recognition and editing support system of korean language that converts the obtained images to the document by applying the character recognition algorithm and arrange the important parts.

Optimize KNN Algorithm for Cerebrospinal Fluid Cell Diseases

  • Soobia Saeed;Afnizanfaizal Abdullah;NZ Jhanjhi
    • International Journal of Computer Science & Network Security
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    • v.24 no.2
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    • pp.43-52
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    • 2024
  • Medical imaginings assume a important part in the analysis of tumors and cerebrospinal fluid (CSF) leak. Magnetic resonance imaging (MRI) is an image segmentation technology, which shows an angular sectional perspective of the body which provides convenience to medical specialists to examine the patients. The images generated by MRI are detailed, which enable medical specialists to identify affected areas to help them diagnose disease. MRI imaging is usually a basic part of diagnostic and treatment. In this research, we propose new techniques using the 4D-MRI image segmentation process to detect the brain tumor in the skull. We identify the issues related to the quality of cerebrum disease images or CSF leakage (discover fluid inside the brain). The aim of this research is to construct a framework that can identify cancer-damaged areas to be isolated from non-tumor. We use 4D image light field segmentation, which is followed by MATLAB modeling techniques, and measure the size of brain-damaged cells deep inside CSF. Data is usually collected from the support vector machine (SVM) tool using MATLAB's included K-Nearest Neighbor (KNN) algorithm. We propose a 4D light field tool (LFT) modulation method that can be used for the light editing field application. Depending on the input of the user, an objective evaluation of each ray is evaluated using the KNN to maintain the 4D frequency (redundancy). These light fields' approaches can help increase the efficiency of device segmentation and light field composite pipeline editing, as they minimize boundary artefacts.

Research on Reconstruction Technology of Biofilm Surface Based on Image Stacking

  • Zhao, Yuyang;Tao, Xueheng;Lee, Eung-Joo
    • Journal of Korea Multimedia Society
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    • v.24 no.11
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    • pp.1472-1480
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    • 2021
  • Image stacking technique is one of the key techniques for complex surface reconstruction. The process includes sample collection, image processing, algorithm editing, surface reconstruction, and finally reaching reliable conclusions. Since this experiment is based on laser scanning confocal microscope to collect the original contour information of the sample, it is necessary to briefly introduce the relevant principle and operation method of laser scanning confocal microscope. After that, the original image is collected and processed, and the data is expanded by interpolation method. Meanwhile, several methods of surface reconstruction are listed. After comparing the advantages and disadvantages of each method, one-dimensional interpolation and volume rendering are finally used to reconstruct the 3D model. The experimental results show that the final 3d surface modeling is more consistent with the appearance information of the original samples. At the same time, the algorithm is simple and easy to understand, strong operability, and can meet the requirements of surface reconstruction of different types of samples.

Fast Image Splicing Detection Algorithm Using Markov Features (마코프 특징을 이용하는 고속 위조 영상 검출 알고리즘)

  • Kim, Soo-min;Park, Chun-Su
    • Journal of IKEEE
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    • v.22 no.2
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    • pp.227-232
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    • 2018
  • Nowadays, image manipulation is enormously popular and easier than ever with tons of convenient images editing tools. After several simple operations, users can get visually attractive images which easily trick viewers. In this paper, we propose a fast algorithm which can detect the image splicing using the Markov features. The proposed algorithm reduces the computational complexity by removing unnecessary Markov features which are not used in the image splicing detection process. The performance of the proposed algorithm is evaluated using a famous image splicing dataset which is publicly available. The experimental results show that the proposed technique outperforms the state-of-the-art splicing detection methods.

Single Image Based HDR Algorithm Using Statistical Differencing and Histogram Manipulation (통계적 편차와 히스토그램 변형을 이용한 단일영상기반 고품질 영상 생성기법)

  • Song, Jin-Sun;Han, Kyu-Phil;Park, Yang-Woo
    • Journal of Korea Multimedia Society
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    • v.21 no.7
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    • pp.764-771
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    • 2018
  • In this paper, we propose a high-quality image acquisition algorithm using only a single image, which the high-quality image is normally referred as HDR ones. In order to acquire the HDR image, conventional methods need many images having different exposure values at the same scene and should delicately adjust the color values for a bit-expansion or an exposure fusion. Thus, they require considerable calculations and complex structures. Therefore, the proposed algorithm suggests a completely new approach using one image for the high-quality image acquisition by applying statistical difference and histogram manipulation, or histogram specification, techniques. The techniques could control the pixel's statistical distribution of the input image into the desired one through the local and the global modifications, respectively. As the result, the quality of the proposed algorithm is better than those of conventional methods implemented in commercial image editing softwares.

Haptic Rendering Algorithm for Collision Situation of Two Objects (두 객체가 충돌하는 상황에서의 햅틱 렌더링 알고리즘)

  • Kim, Seonkyu;Kim, Hyebin;Ryu, Chul
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.3
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    • pp.35-41
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    • 2018
  • In this paper, we define a haptic rendering algorithm for a situation that has collision between static object and single object. We classified video scenes into four categories which can be easily seen in video sequence. The proposed algorithm can detect which frame is suitable for haptic rendering by detecting the change of direction using motion estimation and change of shape using object tracking. As a result, a total of 13 frames are extracted from the sample video and playing time of these frames were calculated. We confirmed that the haptic effect appears in expected playing time by adding the appropriate haptic generating waveform thtough the haptic editing program.

Video Generation Algorithm for Remote Lecture Recording Tools (원격 강의용 콘텐츠 제작 도구를 위한 동영상 생성 알고리즘)

  • Kwon, Oh-Sung
    • Journal of The Korean Association of Information Education
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    • v.22 no.5
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    • pp.605-611
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    • 2018
  • On-Line Lectures are becoming more common due to the MOOK service and the expansion of national policy in Korea. Especially, It is being changed to new remote mixed style from traditional lecture in universities. We propose and implement a remote contents making tool with audio synchronization function based on more with less resources. To implement our proposed algorithm, we design an interactive interface to assign multiple cutting intervals and convert an input video to print a new result. In experimental, we can confirm our algorithm works properly with average performance value 9.3% cpu share ratio and 87mega byte ram usage(CPU 2.60GHz, 820*600 Area).

Musical Score Recognition Using Hierarchical ART2 Algorithm (Hierarchical ART2 알고리즘을 이용한 악보 인식)

  • Kim, Kwang-Baek;Woo, Young-Woon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.10
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    • pp.1997-2003
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    • 2009
  • Methods for effective musical score recognition and efficient editing of musical scores are demanded because functions of computers for researches on musical activities become more and more important parts in recent days. In the conventional methods for handling musical scores manually, there are weak points such as incorrect score symbols in input process and requirement of much time to adjust the incorrect symbols. And also there is another weak point that the scores edited by each application program can be remodified by a specific application program only. In this paper, we proposed a method for automatic musical score recognition of printed musical scores in order to make up for the weak points. In the proposed method, staffs in a scanned score image are eliminated by horizontal histogram, noises are removed by 4 directional edge tracking algorithm, and then musical score symbols are extracted by using Grassfire algorithm. The extracted symbols are recognized by hierarchical ART2 algorithm. In order to evaluate the performance of the proposed method, we used 100 musical scores for experiment. In the experiment, we verified that the proposed method using hierarchical ART2 algorithm is efficient.

Scenario-based 3D Objects Synthesizing System Design

  • Nam, Ji-Seung;Gao, Hui;Kang, Mi-Young;Kim, Kyoung-Tae;Son, Seung-Chul;Pom, Chung-Ung;Heo, Kwon
    • Journal of Information Processing Systems
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    • v.2 no.1
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    • pp.18-22
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    • 2006
  • This paper proposes the framework of the scenario-based 3D image synthesizing system that allows common users who envision a scenario in their mind to realize it into the segments of cool animation. We focused on utilization of the existing motions to synthesize new motions for the objects. The framework is useful to build a 3D animation in game programming with a limited set of 3D objects. We also propose a practical algorithm to reuse and expand the objects. This algorithm is based on motion path modification rules. Both linear and nonlinear curve-fitting algorithms were applied to modify an animation by key frame interpolation and to make the motion appear realistic.

Compression Algorithm of HDTV Video Signals for VTR Recording (VTR 기록을 위한 HDTV 영상신호의 압축 알고리즘)

  • 조돈민;박동권;원치선;박진우;여지희;구형서;이종화
    • Journal of Broadcast Engineering
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    • v.1 no.2
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    • pp.108-117
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    • 1996
  • In this paper we propose a Wavelet- based compression algorithm of HDTV video signals for the purpose of recording HDTV signals in the digital VTR. Comparing to the DCT- based compression method, which only yields unrecognizable DCT coefficients, the low frequency components of Wavelet coefficients maintain recognizable spatial domain information. So, it is more suitable for various VTR operations such as editing and multi-speed mode operations. Also, the adopted Wavelet filter can be Implemented with simple shift operations, which can reduce the computational complexities substantially. The quality of reconstructed HDTV signals with a 4:1 compression ratio turns out to be good enough for the studio use.

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