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Texture Feature Extraction From Texture Spectrum
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.
The three-model screen
all 1,000 screened works →All three models called this out of scope.
stratum: aff_core · design weight: 5595.24 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: high
Computer vision method for texture feature extraction from texture spectrum; an image analysis technique.
GPT-5.6 (high)OUT
genre: empirical
about Canada: no
confidence: high
The work develops texture feature extraction methods for image analysis, not a study of research.
Grok 4.5OUT
genre: empirical
about Canada: no
confidence: medium
Computer vision texture feature extraction; method use, not study of research.
Abstract
No abstract. This is not a gap in this database — OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
The record
- Venue
- Topic
- Medical Image Segmentation Techniques
- Field
- Computer Science
- Canadian institutions
- Université de Sherbrooke
- Funders
- —
- Keywords
- Texture (cosmology)Feature extractionComputer scienceImage textureArtificial intelligencePattern recognition (psychology)Extraction (chemistry)Texture compressionTexture filteringComputer visionImage segmentationImage (mathematics)
- Has abstract in OpenAlex
- no