Matches in SemOpenAlex for { <https://semopenalex.org/work/W16764832> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W16764832 endingPage "217" @default.
- W16764832 startingPage "212" @default.
- W16764832 abstract "In this paper, an orthogonal subspace projection (OSP) approach, successfully used on hyperspectral images has been chosen for classification of image data prior to segmentation as it has a distinct advantage of separating undesired signatures and interferences within a pixel by decomposing a pixel into a signature space and a noise space, where the desired signature is retrieved using a matched filter. Now our main problem, prior to using an OSP approach is that an OSP requires a good knowledge of signature abundances and expressive features and characteristics of images to be collected for an OSP based classifier to function properly. Hence, it is required to efficiently extract feature vectors for training purposes from images. We have chosen to extract feature vectors based on the important image characteristics of 'texture' and 'colour'. The two procedures: (a.) Texture Spectrum and (b.) Colour Histogram from ILHS 3D-Polar coordinate space are used for extraction of feature vectors from the given image. Finally, various criteria for comparison of images based on texture spectrum have been mentioned. An advantageous application of such measures is that, they can be used for developing algorithms for efficient content based retrieval from image databases. Implementation of this approach presented has been done in 'Matlab' and the results of the texture spectrum, ILHS histogram verified with the spectrum given in [2] before proceeding to images of our own interest." @default.
- W16764832 created "2016-06-24" @default.
- W16764832 creator A5069401070 @default.
- W16764832 date "2007-04-02" @default.
- W16764832 modified "2023-09-26" @default.
- W16764832 title "Feature extraction with texture spectrum and ILHS colour histogram for segmentation of images using OSP based classifiers" @default.
- W16764832 cites W2117741752 @default.
- W16764832 cites W2129430460 @default.
- W16764832 cites W2137870541 @default.
- W16764832 cites W2151239665 @default.
- W16764832 cites W1966723155 @default.
- W16764832 hasPublicationYear "2007" @default.
- W16764832 type Work @default.
- W16764832 sameAs 16764832 @default.
- W16764832 citedByCount "0" @default.
- W16764832 crossrefType "journal-article" @default.
- W16764832 hasAuthorship W16764832A5069401070 @default.
- W16764832 hasConcept C115961682 @default.
- W16764832 hasConcept C124504099 @default.
- W16764832 hasConcept C153180895 @default.
- W16764832 hasConcept C154945302 @default.
- W16764832 hasConcept C159078339 @default.
- W16764832 hasConcept C160633673 @default.
- W16764832 hasConcept C31972630 @default.
- W16764832 hasConcept C33923547 @default.
- W16764832 hasConcept C41008148 @default.
- W16764832 hasConcept C52622490 @default.
- W16764832 hasConcept C53533937 @default.
- W16764832 hasConcept C63099799 @default.
- W16764832 hasConcept C83665646 @default.
- W16764832 hasConcept C89600930 @default.
- W16764832 hasConceptScore W16764832C115961682 @default.
- W16764832 hasConceptScore W16764832C124504099 @default.
- W16764832 hasConceptScore W16764832C153180895 @default.
- W16764832 hasConceptScore W16764832C154945302 @default.
- W16764832 hasConceptScore W16764832C159078339 @default.
- W16764832 hasConceptScore W16764832C160633673 @default.
- W16764832 hasConceptScore W16764832C31972630 @default.
- W16764832 hasConceptScore W16764832C33923547 @default.
- W16764832 hasConceptScore W16764832C41008148 @default.
- W16764832 hasConceptScore W16764832C52622490 @default.
- W16764832 hasConceptScore W16764832C53533937 @default.
- W16764832 hasConceptScore W16764832C63099799 @default.
- W16764832 hasConceptScore W16764832C83665646 @default.
- W16764832 hasConceptScore W16764832C89600930 @default.
- W16764832 hasLocation W167648321 @default.
- W16764832 hasOpenAccess W16764832 @default.
- W16764832 hasPrimaryLocation W167648321 @default.
- W16764832 hasRelatedWork W125693604 @default.
- W16764832 hasRelatedWork W1566339216 @default.
- W16764832 hasRelatedWork W1980784778 @default.
- W16764832 hasRelatedWork W2034388887 @default.
- W16764832 hasRelatedWork W2041525275 @default.
- W16764832 hasRelatedWork W2059640663 @default.
- W16764832 hasRelatedWork W2065696663 @default.
- W16764832 hasRelatedWork W2092756435 @default.
- W16764832 hasRelatedWork W2104102717 @default.
- W16764832 hasRelatedWork W2108102147 @default.
- W16764832 hasRelatedWork W2121912965 @default.
- W16764832 hasRelatedWork W2169799455 @default.
- W16764832 hasRelatedWork W2335037768 @default.
- W16764832 hasRelatedWork W2381670958 @default.
- W16764832 hasRelatedWork W2384300519 @default.
- W16764832 hasRelatedWork W2387361620 @default.
- W16764832 hasRelatedWork W2790746897 @default.
- W16764832 hasRelatedWork W2799196941 @default.
- W16764832 hasRelatedWork W2903793793 @default.
- W16764832 hasRelatedWork W63170435 @default.
- W16764832 isParatext "false" @default.
- W16764832 isRetracted "false" @default.
- W16764832 magId "16764832" @default.
- W16764832 workType "article" @default.