Title :
Soft images segmentation
Author_Institution :
Tomsk State Univ. of Control Syst. & Radioelectron.
Abstract :
Images obtained by introscopy and radiography have characteristics of much noise. They are soft images and therefore the interpretation of data on the images is complex. For such images the application of prevalent methods of segmentation founded on the analysis of a histogram of image brightness is difficult. In the present paper methods of segmentation of images founded on approximating a Fourier transform and textured signs of the image obtained from the grey level co-occurrence matrix are investigated
Keywords :
Fourier transforms; image segmentation; image texture; matrix algebra; noise; radiography; Fourier transform; data interpretation; grey level co-occurrence matrix; introscopy; noise; radiography; soft images segmentation; textured signs; Autocorrelation; Brightness; Control systems; Equations; Fourier transforms; Frequency; Histograms; Image converters; Image segmentation; Radio control;
Conference_Titel :
Modern Techniques and Technology, 2000. MTT 2000. Proceedings of the VI International Scientific and Practical Conference of Students, Post-graduates and Young Scientists
Conference_Location :
Tomsk
Print_ISBN :
0-7803-5789-2
DOI :
10.1109/SPCMTT.2000.896072
