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Keyword: Texture Feature
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Open AccessArticle
7 Pages, 519 KB Download PDF

Melanoma detection using color and texture features in computer vision systems

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 5, Page # 16–22, 2019; DOI: 10.25046/aj040502
Abstract:

All forms of skin cancer are becoming widespread. These forms of cancer, and melanoma in particular, are insidious and aggressive and if not treated promptly can be lethal to humans. Effective treatment of skin lesions depends strongly on the timeliness of the diagnosis: for this reason, artificial vision systems are required to play a crucial…

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(This article belongs to the SP7 (Special Issue on Advancement in Engineering and Computer Science 2019) & Section Bioinformatics (BIF))
Open AccessArticle
10 Pages, 3,151 KB Download PDF

Multiscale Texture Analysis and Color Coherence Vector Based Feature Descriptor for Multispectral Image Retrieval

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 6, Page # 270–279, 2019; DOI: 10.25046/aj040634
Abstract:

Content Based Image Retrieval (CBIR) for remote sensing image data is a tedious process due to high resolution and complexity of image interpretation. Development of feature extraction technique is a major portion to represent the image content in an optimal way. In this paper, we propose a feature descriptor which combines the color coherent pixel…

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(This article belongs to the SP8 (Special Issue on Multidisciplinary Sciences and Engineering 2019-20) & Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
8 Pages, 9,429 KB Download PDF

A Supervised Building Detection Based on Shadow using Segmentation and Texture in High-Resolution Images

Advances in Science, Technology and Engineering Systems Journal, Volume 7, Issue 3, Page # 166–173, 2022; DOI: 10.25046/aj070319
Abstract:

Building detection in aerial or satellite imagery is one of the most challenging tasks due to the variety of shapes, sizes, colors, and textures of man-made objects. To this end, in this paper, we propose a novel approach to extracting buildings in high-resolution images based on prior knowledge of the shadow position. Firstly, the image…

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(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
9 Pages, 1,530 KB Download PDF

Texture Based Image Retrieval Using Semivariogram and Various Distance Measures

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 1, Page # 1369–1377, 2021; DOI: 10.25046/aj0601156
Abstract:

In a content-based image retrieval system(CBIR) feature classification,identification, and ex- traction play an important role. The retrieval of images using a single feature is a challenging task in CBIR systems. The high retrieval rates are reported based on combining multiple features, multiple algorithms and preprocessing steps, feature classification, and segmentation because the image retrieval are…

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(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
7 Pages, 987 KB Download PDF

Zebrafish Larvae Classification based on Decision Tree Model: A Comparative Analysis

Advances in Science, Technology and Engineering Systems Journal, Volume 3, Issue 4, Page # 347–353, 2018; DOI: 10.25046/aj030435
Abstract:

Screening the abnormal development of the zebrafish embryos before and after being hatched for a large number of samples is always carried out manually. The manual process is presented as a tedious work and low-throughput. The single female fish produce hundreds of eggs in every single mating process, the samples of the zebrafish embryos should…

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(This article belongs to the SP6 (Special Issue on Recent Advances in Engineering Systems 2018-19) & Section Biomedical Engineering (EBI))

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