{"title":"Recognition of salient object","authors":"Ms. Nikhila, Sayali Rawat","doi":"10.1109/ICAECCT.2016.7942599","DOIUrl":null,"url":null,"abstract":"Salient region detection is essential theme in computer vision. This paper demonstrates the application of salient region detection for object recognition and classification. The different visual cues are used for salient object detection. The local contrast and compactness visual cues are complementally to each other. The salient regions are not correctly suppressed by compactness cues but local contrast can effectively recover. The bottom-up technique is used for recognition of salient object. The saliency map is getting from compactness and local contrast map. After detection of salient region or objects we will extend our approach towards recognition or of some special objects or shapes. For that we will work on some geometrical features.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"101 1","pages":"283-286"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAECCT.2016.7942599","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Salient region detection is essential theme in computer vision. This paper demonstrates the application of salient region detection for object recognition and classification. The different visual cues are used for salient object detection. The local contrast and compactness visual cues are complementally to each other. The salient regions are not correctly suppressed by compactness cues but local contrast can effectively recover. The bottom-up technique is used for recognition of salient object. The saliency map is getting from compactness and local contrast map. After detection of salient region or objects we will extend our approach towards recognition or of some special objects or shapes. For that we will work on some geometrical features.
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显著区域检测是计算机视觉中的一个重要课题。本文演示了显著区域检测在目标识别和分类中的应用。不同的视觉线索用于显著目标检测。局部对比和紧凑的视觉线索是相辅相成的。显著区域不能被紧凑性信号正确地抑制,但局部对比度可以有效地恢复。采用自底向上的方法对显著目标进行识别。显著性图是由紧度图和局部对比图得到的。在检测到显著区域或物体后,我们将扩展我们的方法来识别一些特殊的物体或形状。为此,我们将研究一些几何特征。
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