DocumentCode :
3166636
Title :
Conditional morphological operators for direct feature extraction and enhancement
Author :
Rees, S.J. ; Jones, B.F.
Author_Institution :
Glamorgan Univ., UK
fYear :
1995
fDate :
4-6 Jul 1995
Firstpage :
747
Lastpage :
751
Abstract :
Conditional morphological operators have been used for feature extraction and enhancement in greyscale images. Templates are used to determine the presence of specific spatial structures in the intensity map. Applied conditions permit noise defects preventing full containment of the template to occur, and allow recognition of “broad brush” classes of features as well as specific single structures. The theoretical methods used are explained and practical templates indicated. Practical examples include the delineation of soft tissue wounds, enhancement of textural differences and feature extraction
Keywords :
feature extraction; image enhancement; image texture; interference (signal); mathematical morphology; mathematical operators; medical image processing; broad brush classes; conditional morphological operators; direct feature extraction; enhancement; feature extraction; greyscale images; intensity map; noise defects; recognition; soft tissue wounds; specific single structures; specific spatial structures; templates; textural differences;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Image Processing and its Applications, 1995., Fifth International Conference on
Conference_Location :
Edinburgh
Print_ISBN :
0-85296-642-3
Type :
conf
DOI :
10.1049/cp:19950759
Filename :
465626
Link To Document :
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