Unknown

Dataset Information

0

Contour detection improved by context-adaptive surround suppression.


ABSTRACT: Recently, many image processing applications have taken advantage of a psychophysical and neurophysiological mechanism, called "surround suppression" to extract object contour from a natural scene. However, these traditional methods often adopt a single suppression model and a fixed input parameter called "inhibition level", which needs to be manually specified. To overcome these drawbacks, we propose a novel model, called "context-adaptive surround suppression", which can automatically control the effect of surround suppression according to image local contextual features measured by a surface estimator based on a local linear kernel. Moreover, a dynamic suppression method and its stopping mechanism are introduced to avoid manual intervention. The proposed algorithm is demonstrated and validated by a broad range of experimental results.

SUBMITTER: Sang Q 

PROVIDER: S-EPMC5536361 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

altmetric image

Publications

Contour detection improved by context-adaptive surround suppression.

Sang Qiang Q   Cai Biao B   Chen Hao H  

PloS one 20170731 7


Recently, many image processing applications have taken advantage of a psychophysical and neurophysiological mechanism, called "surround suppression" to extract object contour from a natural scene. However, these traditional methods often adopt a single suppression model and a fixed input parameter called "inhibition level", which needs to be manually specified. To overcome these drawbacks, we propose a novel model, called "context-adaptive surround suppression", which can automatically control  ...[more]

Similar Datasets

| S-EPMC3621669 | biostudies-literature
| S-EPMC4743711 | biostudies-literature
| S-EPMC4429927 | biostudies-literature
| S-EPMC10207957 | biostudies-literature
| S-EPMC1866303 | biostudies-literature
| S-EPMC10550176 | biostudies-literature
| S-EPMC6464404 | biostudies-literature
| S-EPMC10803047 | biostudies-literature
| S-EPMC5884933 | biostudies-literature
| S-EPMC6363742 | biostudies-literature