Texture features and learning similarity

By Wei-Ying Ma, Bangalore S. Manjunath. 1996

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Vignesh Jagadeesh
2. Robinson Piramuthu
3. Wei Di
4. Anurag Bhardwaj
5. Neel Sundaresan
6. Antoine Geissbühler
7. David Bandon
8. Henning Müller

Citations in the corpus

• Large scale visual recommendations from street fashion images (2014, methodology): “We performed extensive experiments with texture features such Gabor Wavelets [10], Textons [12], Dense-SIFT[2] and found them to be unstable for texture classifi-cation in clothing.”
• A review of content-based image retrieval systems in medical applications - clinical benefits and future directions (2004, background): “Some of the most common measures for capturing the texture of images are wavelets [32,33] and Gabor filters [24,34,35] where the Gabor filters do seem to perform better and correspond well to the properties of the human visual cortex for edge detection [36,37].”