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Titlebook: Image Analysis and Recognition; 15th International C Aurélio Campilho,Fakhri Karray,Bart ter Haar Romen Conference proceedings 2018 Springe

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樓主: Malicious
51#
發(fā)表于 2025-3-30 09:15:19 | 只看該作者
52#
發(fā)表于 2025-3-30 15:33:33 | 只看該作者
An Improvement on GrabCut with CLAHE for the Segmentation of the Objects with Ambiguous Boundaries way, the foreground objects are segmented easily and successfully from the scenes which have cluttered backgrounds and multiple objects. GrabCut technique that utilize graph theory, Gaussian Mixture Model and iterative energy minimization can be considered in this context. This study concentrate on
53#
發(fā)表于 2025-3-30 19:31:57 | 只看該作者
A Computational Model of Multi-scale Spatiotemporal Attention in Video Datao data. It is based on the analysis of feature-point areas, which correspond to the object-relevant focus-of-attention (FoA) points extracted by the proposed multi-scale spatiotemporal operator. The operator design is inspired by three cognitive properties of the human visual system: detection of sp
54#
發(fā)表于 2025-3-30 23:12:29 | 只看該作者
Feature Selection for Big Visual Data: Overview and Challengeson and machine learning. When dealing with large scale datasets, with a huge number of samples and features, the use of feature selection plays an important role for dimensionality reduction whilst allowing model interpretation, data understanding and knowledge extraction. This manuscript is focused
55#
發(fā)表于 2025-3-31 02:34:33 | 只看該作者
56#
發(fā)表于 2025-3-31 08:29:54 | 只看該作者
Improving Picture Quality with Photo-Realistic Style Transferrovement based with photo style transfer. Second, we describe the problems of learning style transfer under geometrical constraints for processing portrait images and multi-style transfer. Finally, we give a short glimpse on application of image-to-image translation methods for updating realistic graphics for video games.
57#
發(fā)表于 2025-3-31 12:10:29 | 只看該作者
Singular Value Decomposition in Image Compression and Blurred Image Restorationy introduces the concept of the SVD and basic facts about it and then describes two classes of its applications in image processing - image compression and blurred image restoration. Calculations are implemented in MATLAB software. Our experiences and the results are presented in the text.
58#
發(fā)表于 2025-3-31 13:53:01 | 只看該作者
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