Name
Title | ||
|---|---|---|
Medical Ultrasound Image Similarity Measurement by Human Visual System (HVS) Modelling |
Abstract | ||
|---|---|---|
We applied a four stage model of human vision to the problem of similarity measurement of medical (liver) ultrasound images. The results showed that when comparing a given image to a set that contained images with similar features, the model was able to correctly identify the most similar image in the set. Additionally, the shape of the similarity function closely followed a subjective measure of visual similarity for images around the best match. Removing some computational steps to reduce processing time enabled the comparison method to run in near real-time ( |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/3-540-36181-2_34 | Biologically Motivated Computer Vision |
Keywords | Field | DocType |
human visual system,similar image,visual similarity,comparison method,similarity function,medical ultrasound image,best match,similar feature,similarity measurement,ultrasound image,computational step,stage model,near real time,stimuli,channels,edge detection,stereopsis | Computer vision,Human visual system model,Stereopsis,Edge detection,Artificial intelligence,Mathematics,Ultrasound image,Ultrasound | Conference |
Volume | ISSN | ISBN |
2525 | 0302-9743 | 3-540-00174-3 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Darryl A. de Cunha | 1 | 54 | 6.86 |
| Leila Eadie | 2 | 8 | 3.03 |
| Benjamin Adams | 3 | 0 | 0.34 |
| David J. Hawkes | 4 | 4262 | 470.26 |