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RISS 인기검색어
- 검색키워드
- 저자 : Nor Ashidi Mat Isa (검색결과 3 건)
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Underwater image quality enhancement through Rayleigh-stretching and averaging image planes
Ahmad Shahrizan Abdul Ghani,Nor Ashidi Mat Isa 대한조선학회 2014 International Journal of Naval Architecture and Oc Vol.6 No.4
Visibility in underwater images is usually poor because of the attenuation of light in the water thatcauses low contrast and color variation. In this paper, a new approach for underwater image quality improvement ispresented. The proposed method aims to improve underwater image contrast, increase image details, and reduce noiseby applying a new method of using contrast stretching to produce two different images with different contrasts. Theproposed method integrates the modification of the image histogram in two main color models, RGB and HSV. The histogramsof the color channel in the RGB color model are modified and remapped to follow the Rayleigh distributionwithin certain ranges. The image is then converted to the HSV color model, and the S and V components are modifiedwithin a certain limit. Qualitative and quantitative analyses indicate that the proposed method outperforms other stateof-the-art methods in terms of contrast, details, and noise reduction. The image color also shows much improvement.
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Underwater image quality enhancement through Rayleigh-stretching and averaging image planes
Ghani, Ahmad Shahrizan Abdul,Isa, Nor Ashidi Mat The Society of Naval Architects of Korea 2014 International Journal of Naval Architecture and Oc Vol.6 No.4
Visibility in underwater images is usually poor because of the attenuation of light in the water that causes low contrast and color variation. In this paper, a new approach for underwater image quality improvement is presented. The proposed method aims to improve underwater image contrast, increase image details, and reduce noise by applying a new method of using contrast stretching to produce two different images with different contrasts. The proposed method integrates the modification of the image histogram in two main color models, RGB and HSV. The histograms of the color channel in the RGB color model are modified and remapped to follow the Rayleigh distribution within certain ranges. The image is then converted to the HSV color model, and the S and V components are modified within a certain limit. Qualitative and quantitative analyses indicate that the proposed method outperforms other state-of-the-art methods in terms of contrast, details, and noise reduction. The image color also shows much improvement.
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A Tool for Automated Test Data Generation (and Execution) Based on Combinatorial Approach
Kamal Zuhairi Zamli,Nor Ashidi Mat Isa,Mohamed Fadel Jamil Klaib,Siti Norbaya Azizan 보안공학연구지원센터 2007 International Journal of Software Engineering and Vol.1 No.1
Covering as much as 40 to 50 percent of the development costs and resources, software testing is an integral part of the software development lifecycle. Despite its importance, current software testing practice lacks automation and is still primarily based on highly manual processes from the generation of test cases (i.e. from the specifications documents) up to the actual execution of the test. These manually generated tests are sometimes executed using ad hoc approach, typically requiring the construction of a test driver for the particular application under test. The construction of a test driver is tedious, error prone, and cumbersome process, as it puts extra burden to test engineers. In addition, test engineers are also under pressure to test increasing lines of code in order to meet market demands and deadlines for more software functionalities. To attain the required level of quality and maintain acceptable test coverage, test engineers need to consider a significantly large number of test cases. Many combinations of possible input parameters, hardware/software environments, and system conditions need to be tested and verified against for conformance based on the system’s specification. Often, this results into combinatorial explosion of test cases. Addressing some of the aforementioned issues, this paper describes a new automated and combinatorial software testing tool, called JTst, based on the use of Java technology. The main novel features of JTst are the fact that it permits combinatorial test data generation and automated concurrent execution, enabling higher product quality at lower testing costs.
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