Efficient Color Boundary Detection with Color-Opponent Mechanisms
Color information plays an important role in better understanding of natural scenes by at least facilitating discriminating boundaries of objects or areas. In this study, we propose a new framework for boundary detection in complex natural scenes based on the color-opponent mechanisms of the visual system. The red-green and blue-yellow color opponent channels in the human visual system are regarded as the building blocks for various color perception tasks such as boundary detection. The proposed framework is a feedforward hierarchical model, which has direct counterpart to the color-opponent mechanisms involved in from the retina to the primary visual cortex (V1). Results show that our simple framework has excellent ability to flexibly capture both the structured chromatic and achromatic boundaries in complex scenes.
Code (0)
등록된 구현이 없습니다.
Tasks
Boundary DetectionSimilar Papers 제목 키워드 기반
Spatial Contrast: A Vintage Retinal Model of Color Vision Produces the Center-Surround Opponent Color Phenomena; The Model Was Previously Shown To Produce Mutually Exclusive Opponent Colors by a Different Mechanism
The on-off phenomena of opponent colors in center-surround may be the best-known facts of retinal processing of information. Apparently, however, no explicit model has been proposed that shows how neurons can be connecte…
Bio-inspired Color Constancy: From Gray Anchoring Theory to Gray Pixel Methods
Color constancy is a fundamental ability of many biological visual systems and a crucial step in computer imaging systems. Bio-inspired modeling offers a promising way to elucidate the computational principles underlying…
Color ConstancyDouble opponency serves as a basis for color constancy
Color constancy (CC) is one of the important perceptual abilities of the human visual system, which states that despite changes in illumination, the perceived colors of surfaces generally tend to remain constant. Neverth…
Color ConstancyThe relativity of color perception
Physical colors, i.e. reflected or emitted lights entering the eyes from a visual environment, are converted into perceived colors sensed by humans by neurophysiological mechanisms. These processes involve both three typ…
Information Flow in Biological Networks for Color Vision
Color Appearance Models are biological networks that consist of a cascade of linear+nonlinear layers that modify the linear measurements at the retinal photo-receptors leading to an internal (nonlinear) representation of…