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Threshold static perimetry is generally done using automated equipment. It is used for rapid screening and follow-up of diseases involving deficits such as scotomas, loss of peripheral vision and more subtle vision loss. Perimetry testing is important in the screening, diagnosing, and monitoring of various eye, retinal, optic nerve and brain ...
The SITA algorithm optimizes the determination of perimetry thresholds by continuously estimating what the expected threshold is based on the patient's age and neighboring thresholds. In this manner, it can reduce the time necessary to acquire a visual field by up to 50%, and it decreases patient fatigue and increases reliability.
For example, the darkest square in the key represents that <0.5% of the population would also attain this result, indicating that the vision loss is extensive. The total deviation plots highlight diffuse vision loss (i.e. the total departure from the age-norm).
The visual field is measured by perimetry.This may be kinetic, where spots of light are shown on the white interior of a half sphere and slowly moved inwards until the observer sees them, or static, where the light spots are flashed at varying intensities at fixed locations in the sphere until detected by the subject.
According to IPS Perimetry Standards 1978 (2002): "Perimetry is the measurement of [an observer's] visual functions ... at topographically defined loci in the visual field. The visual field is that portion of the external environment of the observer [in which when he or she is] steadily fixating ...[he or she] can detect visual stimuli."
Microperimetry, sometimes called fundus-controlled perimetry, [1] is a type of visual field test [2] which uses one of several technologies to create a "retinal sensitivity map" of the quantity of light perceived in specific parts of the retina [3] in people who have lost the ability to fixate on an object or light source. The main difference ...
In image processing, the balanced histogram thresholding method (BHT), [1] is a very simple method used for automatic image thresholding.Like Otsu's Method [2] and the Iterative Selection Thresholding Method, [3] this is a histogram based thresholding method.
[6] [7] The JND for tone is dependent on the tone's frequency content. Below 500 Hz, the JND is about 3 Hz for sine waves; above 1000 Hz, the JND for sine waves is about 0.6% (about 10 cents). [8] The JND is typically tested by playing two tones in quick succession with the listener asked if there was a difference in their pitches. [9]