LBP-Based Edge Detection Method for Depth Images With Low Resolutions
نویسندگان
چکیده
منابع مشابه
Edge-based method of sharp region extraction from low depth of filed images
This paper presents a method for extracting blur/sharp regions of interest (ROI) that benefits of using a combination of edge and region based approaches. It can be considered as a preliminary step for many vision applications tending to focus only on the most salient areas in low depth-of-field images. To localize focused regions, we first classify each edge as either sharp or blurred based on...
متن کاملEdge-Based Method for Text Detection from Complex Document Images
Detection of text from documents in which text is embedded in complex colored and textured backgrounds is a very challenging problem. In this paper, we propose a simple texture-based approach based on edge information for this task. The performance of our method is compared to that obtained by a method based on the discrete cosine transform which was recently proposed by Zhong et al. [12] for t...
متن کاملA Clustering Based Method for Edge Detection in Hyperspectral Images
Edge detection in hyperspectral images is an intrinsically difficult problem as the gray value intensity images related to single spectral bands may show different edges. The few existing approaches are either based on a straight forward combining of these individual edge images, or on finding the outliers in a region segmentation. As an alternative, we propose a clustering of all image pixels ...
متن کاملObject Detection with Saliency Space for Low Depth of Field Images Using Graph Cut Method
The graph cut based approach has become very popular for interactive segmentation of the object -of-interest from the background. Content-based multimedia application plays an important role on automatic segmentation of images with low depth of field (DOF).Graph cut method, separate the important objects (i.e. interest regions) of a given image from its defocused background using novel cluster ...
متن کاملGravitation-Based Edge Detection for Hyperspectral Images
Edge detection is one of the key issues in the field of computer vision and remote sensing image analysis. Although many different edge-detection methods have been proposed for gray-scale, color, and multispectral images, they still face difficulties when extracting edge features from hyperspectral images (HSIs) that contain a large number of bands with very narrow gap in the spectral domain. I...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Photonics Journal
سال: 2019
ISSN: 1943-0655,1943-0647
DOI: 10.1109/jphot.2018.2884772