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Document Type |
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Article In Conference |
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Document Title |
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The Correlation Study of Parallel Feature Extractor and Noise Reduction Approaches The Correlation Study of Parallel Feature Extractor and Noise Reduction Approaches |
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Subject |
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Computer Science |
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Document Language |
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English |
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Abstract |
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This paper presents literature reviews that show variety of techniques to develop parallel feature extractor and finding its correlation with noise reduction approaches for low light intensity images. Low light intensity images are normally displayed as darker images and low contrast. Without proper handling techniques, those images regularly become evidences of misperception of objects and textures, the incapability to section them. The visual illusions regularly clues to disorientation, user fatigue, poor detection and classification performance of humans and computer algorithms. Noise reduction approaches (NR) therefore is an essential step for other image processing steps such as edge detection, image segmentation, image compression, etc. Parallel Feature Extractor (PFE) meant to capture visual contents of images involves partitioning images into segments, detecting image overlaps if any, and controlling distributed and redistributed segments to extract the features. Working on low light intensity images make the PFE face challenges and closely depend on the quality of its preprocessing steps. Some papers have suggested many well established NR as well as PFE strategies however only
few resources have suggested or mentioned the correlation between them. This paper reviews best approaches of the NR and the PFE with detailed explanation on the suggested correlation. This finding may suggest relevant strategies of the PFE development. With the help of knowledge based reasoning, computational approaches and algorithms, we present the correlation study between the NR and the PFE that can be useful for the development and enhancement of other existing PFE. |
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Conference Name |
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Conference Name: International Conference on Mathematics, Engineering and Industrial Applications 2014 |
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Duration |
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From : 28 May 2014 AH - To : 30 May 2014 AH
From : 28 May 2014 AD - To : 30 May 2014 AD |
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Publishing Year |
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1436 AH
2015 AD |
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Number Of Pages |
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11 |
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Article Type |
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Article |
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Conference Place |
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Penang, Malaysia |
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Organizing Body |
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Universiti Malaysia Perlis |
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Added Date |
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Tuesday, March 8, 2016 |
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Researchers
| Anton Satria Prabuwono | Satria Prabuwono, Anton | Researcher | Doctorate | aprabuwono@kau.edu.sa |
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