A template matching approach based on the behavior of swarms of locust
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DOI: 10.1007/s10489-017-0937-9
Abstract: For many image processing applications (such as feature tracking, object recognition, stereo matching and remote sensing), the technique known as Template Matching (TM) plays an important role for the localization and recognition of objects or… read more here.
Keywords: image; search; source image; template matching ... See more keywords
Single-random-phase holographic encryption of images
Sign Up to like & getrecommendations! Published in 2017 at "Optics and Lasers in Engineering"
DOI: 10.1016/j.optlaseng.2016.01.017
Abstract: Abstract In this paper, a method is proposed for encrypting an optical image onto a phase-only hologram, utilizing a single random phase mask as the private encryption key. The encryption process can be divided into… read more here.
Keywords: phase; image; hologram; source image ... See more keywords
Self-Supervised Monocular Depth Estimation With Multiscale Perception
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3167307
Abstract: Extracting 3D information from a single optical image is very attractive. Recently emerging self-supervised methods can learn depth representations without using ground truth depth maps as training data by transforming the depth prediction task into… read more here.
Keywords: self supervised; source image; depth map; depth ... See more keywords
Sufficient Image Appearance Transfer Combining Color and Texture
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DOI: 10.1109/tmm.2016.2631123
Abstract: Traditional color transfer methods can achieve satisfactory results for transferring the color style from a reference image to a source image, provided that the source image shares the similar color mood with the reference image.… read more here.
Keywords: color; image; source image; appearance ... See more keywords
Fully-Connected Transformer for Multi-Source Image Fusion
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2024.3523364
Abstract: Multi-source image fusion combines the information coming from multiple images into one data, thus improving imaging quality. This topic has aroused great interest in the community. How to integrate information from different sources is still… read more here.
Keywords: fusion; source image; self attention; fully connected ... See more keywords
CT Angiography ASPECTS Predicts Outcome Much Better Than Noncontrast CT in Patients with Stroke Treated Endovascularly
Sign Up to like & getrecommendations! Published in 2017 at "American Journal of Neuroradiology"
DOI: 10.3174/ajnr.a5264
Abstract: BACKGROUND AND PURPOSE: Noncontrast CT ASPECTS has been investigated as a predictor of outcome in patients with acute ischemic stroke. Our purpose was to investigate whether CTA source images are a better predictor of clinical… read more here.
Keywords: ncct aspects; cta source; source; source image ... See more keywords
Multi-Source Image Fusion Based Regional Classification Method for Apple Diseases and Pests
Sign Up to like & getrecommendations! Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14177695
Abstract: Efficient diagnosis of apple diseases and pests is crucial to the healthy development of the apple industry. However, the existing single-source image-based classification methods have limitations due to the constraints of single-source input image information,… read more here.
Keywords: classification; source image; source; apple ... See more keywords