• Title/Summary/Keyword: homomorphic filter

Search Result 13, Processing Time 0.02 seconds

Implementation of a Robust Visual Surveillance System for the Variation of Illumination Lights (조명광 변화에 강인한 영상 감시시스템 구현)

  • Jung, Yong-Bae;Kim, Jung-Hyeon;Kim, Tae-Hyo
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.10 no.3
    • /
    • pp.517-525
    • /
    • 2006
  • In this paper, the algorithm which improve the efficiency of surveillance in spite of the change of light is proposed and confirmed by virtue of the experiments. One of the problems for the implementation of visual surveillance system is the image processing technique to overcome with the variations of illumination lights. Some conventional systems are generally not considered the error due to the change of lights because the system use at indoor. In practical, the factors of bad image can be classified to the ghosts due to the reflection of lights and shadows in a scene. Especially weak images and noises at night are decreased the performance of visual surveillance system. In the paper, the filter which improve the images with some change of illumination lights is designed and the gabor filter is used for recognition and tracking of the moving objects. In the results, the system showed that the recognition and tracking were obtained $92\sim100%$ of recognition rate at daytime, but $80\sim90%$ of nighttime.

A Study on the Image Preprosessing model linkage method for usability of Pix2Pix (Pix2Pix의 활용성을 위한 학습이미지 전처리 모델연계방안 연구)

  • Kim, Hyo-Kwan;Hwang, Won-Yong
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
    • /
    • v.15 no.5
    • /
    • pp.380-386
    • /
    • 2022
  • This paper proposes a method for structuring the preprocessing process of a training image when color is applied using Pix2Pix, one of the adversarial generative neural network techniques. This paper concentrate on the prediction result can be damaged according to the degree of light reflection of the training image. Therefore, image preprocesisng and parameters for model optimization were configured before model application. In order to increase the image resolution of training and prediction results, it is necessary to modify the of the model so this part is designed to be tuned with parameters. In addition, in this paper, the logic that processes only the part where the prediction result is damaged by light reflection is configured together, and the pre-processing logic that does not distort the prediction result is also configured.Therefore, in order to improve the usability, the accuracy was improved through experiments on the part that applies the light reflection tuning filter to the training image of the Pix2Pix model and the parameter configuration.

A Study on Hybrid Split-Spectrum Processing Technique for Enhanced Reliability in Ultrasonic Signal Analysis (초음파 신호 해석의 신뢰도 개선을 위한 하이브리드 스플릿-스펙트럼 신호 처리 기술에 관한 연구)

  • Huh, H.;Koo, K.M.;Kim, G.J.
    • Journal of the Korean Society for Nondestructive Testing
    • /
    • v.16 no.1
    • /
    • pp.1-9
    • /
    • 1996
  • Many signal-processing techniques have been found to be useful in ultrasonic and nondestructive evaluation. Among the most popular techniques are signal averaging, spatial compounding, matched filters and homomorphic processing. One of the significant new process is split-spectrum processing(SSP), which can be equally useful in signal-to-noise ratio(SNR) improvement and grain characterization in several specimens. The purpose of this paper is to explore the utility of SSP in ultrasonic NDE. A wide variety of engineering problems are reviewed, and suggestions for implementation of the technique are provided. SSP uses the frequency-dependent response of the interfering coherent noise produced by unresolvable scatters in the resolution range cell of a transducer. It is implemented by splitting the frequency spectrum of the received signal by using gaussian bandpass filter. The theoretical basis for the potential of SSP for grain characterization in SUS 304 material is discussed, and some experimental evidence for the feasibility of the approach is presented. Results of SNR enhancement in signals obtained from real four samples of SUS 304. The influence of various processing parameters on the performance of the processing technique is also discussed. The minimization algorithm, which provides an excellent SNR enhancement when used either in conjunction with other SSP algorithms like polarity-check or by itself, is also presented.

  • PDF