Loading...
Please wait, while we are loading the content...
Similar Documents
2 - Matrice de co-occurrence optimale pour la segmentation automatique d'images ultrasonores
| Content Provider | Semantic Scholar |
|---|---|
| Author | Moysan Corneloup Magnin Benoist |
| Copyright Year | 1992 |
| Abstract | This paper introduces a new method of segmentation using automatic thresholding adapted to the NDT ultrasonic images . This study is based on image analysis through co-occurrence matrixes . It shows an optimization of the r and 0 parameters of the co-occurrence matrix enabling to define more acurately the border between noise and defect echoes . The segmentation is obtained by automatically taking into account a threshold derived from a determination curve calculated front the co-occurrence matrix . This curve, called Average Product of Variances Measure, is an analysis of the distribution of the matrix coefficients . The results show behaviors of the co-occurrence matrixes and of the threshold selection curves that justify perfectly the analysis performed on the characteristics of the image . |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://documents.irevues.inist.fr/bitstream/handle/2042/1799/002.PDF%20TEXTE.pdf?sequence=1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
