Title :
Conditional morphological operators for direct feature extraction and enhancement
Author :
Rees, S.J. ; Jones, B.F.
Author_Institution :
Glamorgan Univ., UK
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;
Conference_Titel :
Image Processing and its Applications, 1995., Fifth International Conference on
Conference_Location :
Edinburgh
Print_ISBN :
0-85296-642-3
DOI :
10.1049/cp:19950759