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Review on Sonar Image Enhancement and object detection using Image fusion techniques

机译:用图像融合技术审查声纳图像增强和物体检测

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The present and the past work of the sonar image enhancement techniques are reviewed in this paper and we also discussed about the steps involved for object detection. In digital image reconstruction image fusion plays a major role of preprocessing. Image fusion will integrates the relevant information of same scene from multiple images with same dimension .The resultant image should be better quality and it preserves all the required and useful information's from the source images. It will be highly suitable for the analysis of human and machine intervention. Further tasks such as classification through segmentation and object detection are done. Despite the significant research conducted on this topic, the development of efficient sonar image fusion and other image processing tasks are still a big challenge for the researchers.
机译:在本文中介绍了SONAR图像增强技术的现在和过去的工作,我们还讨论了对象检测所涉及的步骤。在数字图像重建图像融合中,融合了预处理的主要作用。图像融合将从具有相同维度的多个图像集成相同场景的相关信息。结果图像应该是更好的质量,它可以从源图像中保留所有所需的和有用信息。它非常适合分析人和机器干预。完成了通过分割和对象检测的分类等进一步任务。尽管对此主题进行了重大研究,但高效的声纳图像融合和其他图像处理任务的发展仍然是研究人员的大挑战。

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