Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912058758> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W2912058758 abstract "Infrared image target detection problem is studied. According to the characteristics of infrared image noise distribution, a new denoising algorithm is proposed. The wavelet image is decomposed and reconstructed twice, and the iterative selection threshold strategy is applied to the wavelet coefficients after decomposition to eliminate noise. The simulation results show that the above algorithms are superior to the traditional denoising algorithm for both visual effects and objective evaluation indicators. And can be widely used in the field of infrared imaging. In terms of image enhancement, an image enhancement algorithm based on weighted adaptive local contrast is adopted for infrared image contrast and low signal-to-noise ratio. It takes into account both the enhancement of image detail and the suppression of noise. For the case where there is contrast difference in different areas of the image, the high-contrast area details are less enhanced by the parameter setting, and the low-contrast area is increased to enhance the detail, thereby improving the image visual effect. Since the calculation corresponding to the pixel whose gradient is smaller than a certain threshold value in the original image is neglected during the enhancement processing of the image, the amount of calculation required for image enhancement is reduced. For the segmentation of infrared images, an iterative selection threshold segmentation algorithm is adopted. The basic idea of the algorithm is to start selecting a threshold as the initial estimate and then continually update this estimate according to certain rules until the given condition is met. Compared with traditional threshold segmentation, the algorithm can segment the target region more accurately from complex backgrounds." @default.
- W2912058758 created "2019-02-21" @default.
- W2912058758 creator A5025686734 @default.
- W2912058758 creator A5046419546 @default.
- W2912058758 creator A5055345982 @default.
- W2912058758 creator A5061418233 @default.
- W2912058758 creator A5083985768 @default.
- W2912058758 date "2018-11-01" @default.
- W2912058758 modified "2023-10-18" @default.
- W2912058758 title "Target Detection Based on Wavelet Transform" @default.
- W2912058758 cites W1974210964 @default.
- W2912058758 cites W1995421053 @default.
- W2912058758 cites W2030668569 @default.
- W2912058758 cites W2058507176 @default.
- W2912058758 cites W2060665478 @default.
- W2912058758 cites W2065520212 @default.
- W2912058758 cites W2067076719 @default.
- W2912058758 cites W2092677355 @default.
- W2912058758 cites W2130743445 @default.
- W2912058758 cites W2170407643 @default.
- W2912058758 cites W2325820509 @default.
- W2912058758 cites W2335210298 @default.
- W2912058758 cites W2616924640 @default.
- W2912058758 doi "https://doi.org/10.1109/cac.2018.8623740" @default.
- W2912058758 hasPublicationYear "2018" @default.
- W2912058758 type Work @default.
- W2912058758 sameAs 2912058758 @default.
- W2912058758 citedByCount "1" @default.
- W2912058758 countsByYear W29120587582023 @default.
- W2912058758 crossrefType "proceedings-article" @default.
- W2912058758 hasAuthorship W2912058758A5025686734 @default.
- W2912058758 hasAuthorship W2912058758A5046419546 @default.
- W2912058758 hasAuthorship W2912058758A5055345982 @default.
- W2912058758 hasAuthorship W2912058758A5061418233 @default.
- W2912058758 hasAuthorship W2912058758A5083985768 @default.
- W2912058758 hasConcept C11413529 @default.
- W2912058758 hasConcept C115961682 @default.
- W2912058758 hasConcept C124504099 @default.
- W2912058758 hasConcept C153180895 @default.
- W2912058758 hasConcept C154945302 @default.
- W2912058758 hasConcept C160633673 @default.
- W2912058758 hasConcept C163294075 @default.
- W2912058758 hasConcept C196216189 @default.
- W2912058758 hasConcept C2776502983 @default.
- W2912058758 hasConcept C31972630 @default.
- W2912058758 hasConcept C33923547 @default.
- W2912058758 hasConcept C41008148 @default.
- W2912058758 hasConcept C47432892 @default.
- W2912058758 hasConcept C89600930 @default.
- W2912058758 hasConcept C99498987 @default.
- W2912058758 hasConceptScore W2912058758C11413529 @default.
- W2912058758 hasConceptScore W2912058758C115961682 @default.
- W2912058758 hasConceptScore W2912058758C124504099 @default.
- W2912058758 hasConceptScore W2912058758C153180895 @default.
- W2912058758 hasConceptScore W2912058758C154945302 @default.
- W2912058758 hasConceptScore W2912058758C160633673 @default.
- W2912058758 hasConceptScore W2912058758C163294075 @default.
- W2912058758 hasConceptScore W2912058758C196216189 @default.
- W2912058758 hasConceptScore W2912058758C2776502983 @default.
- W2912058758 hasConceptScore W2912058758C31972630 @default.
- W2912058758 hasConceptScore W2912058758C33923547 @default.
- W2912058758 hasConceptScore W2912058758C41008148 @default.
- W2912058758 hasConceptScore W2912058758C47432892 @default.
- W2912058758 hasConceptScore W2912058758C89600930 @default.
- W2912058758 hasConceptScore W2912058758C99498987 @default.
- W2912058758 hasLocation W29120587581 @default.
- W2912058758 hasOpenAccess W2912058758 @default.
- W2912058758 hasPrimaryLocation W29120587581 @default.
- W2912058758 hasRelatedWork W121273120 @default.
- W2912058758 hasRelatedWork W1669643531 @default.
- W2912058758 hasRelatedWork W1987421842 @default.
- W2912058758 hasRelatedWork W2005437358 @default.
- W2912058758 hasRelatedWork W2008656436 @default.
- W2912058758 hasRelatedWork W2023558673 @default.
- W2912058758 hasRelatedWork W2134924024 @default.
- W2912058758 hasRelatedWork W2337415362 @default.
- W2912058758 hasRelatedWork W2517104666 @default.
- W2912058758 hasRelatedWork W4312857205 @default.
- W2912058758 isParatext "false" @default.
- W2912058758 isRetracted "false" @default.
- W2912058758 magId "2912058758" @default.
- W2912058758 workType "article" @default.