基于多算子的显著性检测

Nishu Sethi, S. B. Bajaj, Vivek Jaglan
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引用次数: 0

摘要

考虑到显示设备的尺寸和宽高比的变化,需要调整这些设备的图像显示的大小。随着显示器变得越来越便宜,并被整合到越来越多的小工具中,人们越来越关注图像大小调整系统,以使图像填充到屏幕的主观尺寸。移除有力的视觉显著性指南和图片编辑是PC视觉、设计等方面的核心问题。从基础复杂的图片中区分和修剪整个引人注目的物体是不容易的。本文讨论了图像大小调整和重要目标保留的不同技术。在解决当前图像大小调整问题的基础上,提出了新的图像大小调整方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Operator based Saliency Detection
Considering the changed size and aspect ratio of the display devices, it is required to resize the presentation of images of those devices. As displays become less expensive and are consolidated into an ever-increasing number of gadgets, there is an expanded spotlight on the image resizing systems to fill a picture to subjective size of the screen. Removing vigorous visual saliency guides and picture editing are central issues in PC vision, designs, and many more. It isn't easy to distinguish and trim the whole remarkable object from pictures with a complex foundation. In this paper, the different techniques for image resizing and preserving important objects are discussed. This paper also presents novel methods for image resizing based on solving the current problem with it.
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