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Home / programming language / Online Java Projects / Photo-to-Sketch Transformation in a Complex Background
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Photo-to-Sketch Transformation in a Complex Background

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SKU: PROJ8286 Categories: 2018-2019 Projects, Digital Image Processing Projects, Online Java 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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Photo-to-Sketch Transformation in a Complex Background

Abstract-In the first place, investigate the problem of sketch generation for sketch-based image retrieval (SBIR).Solving this problem is important to obtain better retrieval results, because a powerful feature extraction algorithm is inefficient. Transforming photos from raw pixels into pseudo-sketches closes the gap between these two domains and plays a significant role in SBIR. This problem is relatively challenging because of: 1) the complexity of the image background and 2) the complexity of the resulting edge map. Here develop a system to generate pseudo-sketches from photos. Saliency detection is used to extract the major  objects from a photo. Then, a Gabor filter is designed to further capture the ‘‘real-major’’ object. Finally, the Sobel operator is used to obtain the final pseudo-sketch. Experiments are conducted using the Flickr15k data set. The results show that the obtained pseudo sketches are reasonable and that the SBIR process produces the state-of-the-art results in certain categories.

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