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Related Concept Videos

Color Vision01:24

Color Vision

Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
Vision01:24

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
Anatomy of the Eyeball01:20

Anatomy of the Eyeball

The eye is a spherical, hollow structure composed of three tissue layers. The outer layer — the fibrous tunic, comprises the sclera — a white structure — and the cornea, which is transparent. The sclera encompasses some of the ocular surface, most of which is not visible. However, the 'white of the eye' is distinctively visible in humans compared to other species. The cornea, a clear covering at the front of the eye, enables light penetration. The eye's middle layer, the vascular tunic,...
Photoreceptors and Visual Pathways01:22

Photoreceptors and Visual Pathways

At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category, whereas...
Perceptual Constancy01:12

Perceptual Constancy

Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...

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Optical pseudocolor encoding of spatial frequency information.

J Bescos, T C Strand

    Applied Optics
    |March 6, 2010
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an optical spatial filtering system that color encodes image spatial frequencies. Partially coherent illumination proves advantageous, enabling simple texture-to-color conversion for enhanced image analysis.

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    Area of Science:

    • Optics
    • Image Processing
    • Computer Vision

    Background:

    • Traditional image processing often struggles with nuanced texture analysis.
    • Spatial frequency content is crucial for understanding image texture.
    • Coherent and incoherent illumination have limitations in optical filtering systems.

    Purpose of the Study:

    • To develop an optical spatial filtering system for color encoding local spatial frequency.
    • To investigate the benefits of partially coherent illumination in this system.
    • To demonstrate a texture-to-color conversion capability.

    Main Methods:

    • Utilized an optical spatial filtering system.
    • Employed partially coherent illumination.
    • Performed experimental validation of the system's performance.

    Main Results:

    • The system successfully color encodes local spatial frequency.
    • Partially coherent illumination demonstrated superior performance compared to coherent or incoherent methods.
    • A simple texture-to-color conversion was achieved.

    Conclusions:

    • The developed optical system effectively translates spatial frequency into color.
    • Partially coherent illumination is optimal for this spatial filtering application.
    • The system offers potential for enhancing textural differences or as a preprocessor for advanced image analysis.