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Home / programming language / Online Matlab Projects / Edge-Based Structural Features for Content-Based Image Retrieval
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Edge-Based Structural Features for Content-Based Image Retrieval

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SKU: PROJ8501 Categories: 2018-2019 Projects, Digital Image Processing Projects, Online Matlab Projects Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Matlab Project, PHP Project, Students Projects
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Edge-Based Structural Features for Content-Based Image Retrieval

Abstract-In the first place , proposes structural features for content-based image retrieval (CBIR), especially edge/structure features extracted from edge maps. In addition, the feature vector is computed through a Water-Filling Algorithm applied on the edge map of the original image. The purpose of this algorithm is to efficiently extract information embedded in the edges. The new features are more generally applicable than texture or shape features. Finally, experiments show that the new features can catch salient edge/structure information and improve the retrieval performance.

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