Critical Analysis of Image Processing Based Classical Approach for Camouflaged Target Detection: Computer Vision Approach
Camouflage is a type of adaptive coloring in which the target blend into its environment making it harder for the predators to see it. It can be accomplished by color matching, disruptive patterns or a combination of the two. Detecting camouflaged targets by naked eyes can be a difficult task or qui...
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| Vydáno v: | 2023 International Conference on Electrical, Electronics, Communication and Computers (ELEXCOM) s. 1 - 5 |
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| Jazyk: | angličtina |
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IEEE
26.08.2023
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| Abstract | Camouflage is a type of adaptive coloring in which the target blend into its environment making it harder for the predators to see it. It can be accomplished by color matching, disruptive patterns or a combination of the two. Detecting camouflaged targets by naked eyes can be a difficult task or quite impossible as the target foreground and the background have undistinguished patterns and colors. So, a Computer Vision technique is required to examine the content of the images and also a technique that is able to distinguish foreground with the background. This paper aims to provide a comparative study on Camouflaged Object Detection (COD) using various classical computer vision approaches which includes Thresholding, Color Space Model and Image Fusion techniques. The comparative and experimental analysis provides an insight of the classical approaches which can be further used for the computer vision applications. |
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| AbstractList | Camouflage is a type of adaptive coloring in which the target blend into its environment making it harder for the predators to see it. It can be accomplished by color matching, disruptive patterns or a combination of the two. Detecting camouflaged targets by naked eyes can be a difficult task or quite impossible as the target foreground and the background have undistinguished patterns and colors. So, a Computer Vision technique is required to examine the content of the images and also a technique that is able to distinguish foreground with the background. This paper aims to provide a comparative study on Camouflaged Object Detection (COD) using various classical computer vision approaches which includes Thresholding, Color Space Model and Image Fusion techniques. The comparative and experimental analysis provides an insight of the classical approaches which can be further used for the computer vision applications. |
| Author | Ghosh, Priyodarshi Bansal, Rishika Aggarwal, Aarush Singh, Abhinendra |
| Author_xml | – sequence: 1 givenname: Abhinendra surname: Singh fullname: Singh, Abhinendra email: abhinendra03@gmail.com organization: Bennett University,Computer science department,Greater Noida,India – sequence: 2 givenname: Rishika surname: Bansal fullname: Bansal, Rishika email: rishikabansal302@gmail.com organization: Bennett University,Computer science department,Greater Noida,India – sequence: 3 givenname: Aarush surname: Aggarwal fullname: Aggarwal, Aarush email: aarushneil1@gmail.com organization: Bennett University,Computer science department,Greater Noida,India – sequence: 4 givenname: Priyodarshi surname: Ghosh fullname: Ghosh, Priyodarshi email: pghosh2002@yahoo.com organization: Bennett University,Computer science department,Greater Noida,India |
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| Snippet | Camouflage is a type of adaptive coloring in which the target blend into its environment making it harder for the predators to see it. It can be accomplished... |
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| SubjectTerms | Aerospace electronics color space model Computational modeling Computer vision Image color analysis Image Fusion Object detection OTSU thresholding Pixel-based image fusion Thresholding (Imaging) Wildlife |
| Title | Critical Analysis of Image Processing Based Classical Approach for Camouflaged Target Detection: Computer Vision Approach |
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