Matches in SemOpenAlex for { <https://semopenalex.org/work/W815551618> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W815551618 abstract "This paper presents literature reviews that show variety of techniques to develop parallel feature extractor and finding its correlation with noise reduction approaches for low light intensity images. Low light intensity images are normally displayed as darker images and low contrast. Without proper handling techniques, those images regularly become evidences of misperception of objects and textures, the incapability to section them. The visual illusions regularly clues to disorientation, user fatigue, poor detection and classification performance of humans and computer algorithms. Noise reduction approaches (NR) therefore is an essential step for other image processing steps such as edge detection, image segmentation, image compression, etc. Parallel Feature Extractor (PFE) meant to capture visual contents of images involves partitioning images into segments, detecting image overlaps if any, and controlling distributed and redistributed segments to extract the features. Working on low light intensity images make the PFE face challenges and closely depend on the quality of its pre-processing steps. Some papers have suggested many well established NR as well as PFE strategies however only few resources have suggested or mentioned the correlation between them. This paper reviews best approaches of the NR and the PFE with detailed explanation on the suggested correlation. This finding may suggest relevant strategies of the PFE development. With the help of knowledge based reasoning, computational approaches and algorithms, we present the correlation study between the NR and the PFE that can be useful for the development and enhancement of other existing PFE." @default.
- W815551618 created "2016-06-24" @default.
- W815551618 creator A5006229253 @default.
- W815551618 creator A5006861317 @default.
- W815551618 creator A5059829322 @default.
- W815551618 date "2015-01-01" @default.
- W815551618 modified "2023-09-26" @default.
- W815551618 title "The correlation study of parallel feature extractor and noise reduction approaches" @default.
- W815551618 cites W1600276254 @default.
- W815551618 cites W2130344308 @default.
- W815551618 cites W588924597 @default.
- W815551618 doi "https://doi.org/10.1063/1.4915845" @default.
- W815551618 hasPublicationYear "2015" @default.
- W815551618 type Work @default.
- W815551618 sameAs 815551618 @default.
- W815551618 citedByCount "0" @default.
- W815551618 crossrefType "proceedings-article" @default.
- W815551618 hasAuthorship W815551618A5006229253 @default.
- W815551618 hasAuthorship W815551618A5006861317 @default.
- W815551618 hasAuthorship W815551618A5059829322 @default.
- W815551618 hasConcept C115961682 @default.
- W815551618 hasConcept C117978034 @default.
- W815551618 hasConcept C124504099 @default.
- W815551618 hasConcept C127413603 @default.
- W815551618 hasConcept C138885662 @default.
- W815551618 hasConcept C144024400 @default.
- W815551618 hasConcept C153180895 @default.
- W815551618 hasConcept C154945302 @default.
- W815551618 hasConcept C163294075 @default.
- W815551618 hasConcept C21880701 @default.
- W815551618 hasConcept C2776401178 @default.
- W815551618 hasConcept C2779304628 @default.
- W815551618 hasConcept C31972630 @default.
- W815551618 hasConcept C36289849 @default.
- W815551618 hasConcept C41008148 @default.
- W815551618 hasConcept C41895202 @default.
- W815551618 hasConcept C52622490 @default.
- W815551618 hasConcept C89600930 @default.
- W815551618 hasConcept C9417928 @default.
- W815551618 hasConcept C99498987 @default.
- W815551618 hasConceptScore W815551618C115961682 @default.
- W815551618 hasConceptScore W815551618C117978034 @default.
- W815551618 hasConceptScore W815551618C124504099 @default.
- W815551618 hasConceptScore W815551618C127413603 @default.
- W815551618 hasConceptScore W815551618C138885662 @default.
- W815551618 hasConceptScore W815551618C144024400 @default.
- W815551618 hasConceptScore W815551618C153180895 @default.
- W815551618 hasConceptScore W815551618C154945302 @default.
- W815551618 hasConceptScore W815551618C163294075 @default.
- W815551618 hasConceptScore W815551618C21880701 @default.
- W815551618 hasConceptScore W815551618C2776401178 @default.
- W815551618 hasConceptScore W815551618C2779304628 @default.
- W815551618 hasConceptScore W815551618C31972630 @default.
- W815551618 hasConceptScore W815551618C36289849 @default.
- W815551618 hasConceptScore W815551618C41008148 @default.
- W815551618 hasConceptScore W815551618C41895202 @default.
- W815551618 hasConceptScore W815551618C52622490 @default.
- W815551618 hasConceptScore W815551618C89600930 @default.
- W815551618 hasConceptScore W815551618C9417928 @default.
- W815551618 hasConceptScore W815551618C99498987 @default.
- W815551618 hasLocation W8155516181 @default.
- W815551618 hasOpenAccess W815551618 @default.
- W815551618 hasPrimaryLocation W8155516181 @default.
- W815551618 hasRelatedWork W1507266234 @default.
- W815551618 hasRelatedWork W1631910785 @default.
- W815551618 hasRelatedWork W1669643531 @default.
- W815551618 hasRelatedWork W1721780360 @default.
- W815551618 hasRelatedWork W2110230079 @default.
- W815551618 hasRelatedWork W2117664411 @default.
- W815551618 hasRelatedWork W2117933325 @default.
- W815551618 hasRelatedWork W2122581818 @default.
- W815551618 hasRelatedWork W2159066190 @default.
- W815551618 hasRelatedWork W2739874619 @default.
- W815551618 isParatext "false" @default.
- W815551618 isRetracted "false" @default.
- W815551618 magId "815551618" @default.
- W815551618 workType "article" @default.