Method for rapidly detecting contrast sensitivity threshold

Abstract

The invention discloses a method for rapidly detecting a contrast sensitivity threshold value, and belongs to the technical field of contrast sensitivity threshold value detection. The method comprises the following steps: S1, selecting a measurement function and a maximum iteration number, and initializing a lookup table of a current iteration number, a prior probability density and a conditional probability; s2, calculating the probability after feedback is obtained next time; s3, predicting the probability of each measurement function; s4, predicting the entropy of the probability density function of the measurement function in the whole parameter space; s5, predicting the expected entropy of each stimulus; s6, finding out the stimulation intensity when the expected entropy is minimum; s7, designing a disturbance operator and then adding the disturbance operator to the stimulation intensity of S6; s8, adding a disturbance operator, and calculating to obtain posterior distribution; s9, calculating new parameter prediction; and S10, if the current iteration number is equal to the input maximum iteration number, outputting a threshold value, otherwise, skipping to the step S2. According to the invention, stimulation can be adaptively optimized and adjusted, the speed of threshold estimation is accelerated, the accuracy is ensured, and the requirement of equipment is reduced.

Description

technical field [0001] The invention belongs to the technical field of contrast sensitivity threshold detection, and in particular relates to a method for rapidly detecting contrast sensitivity threshold. Background technique [0002] The contrast sensitivity function (contrast sensitivity function) describes the change of the reciprocal of the contrast threshold (contrastthreshold) with the spatial frequency. It is a tool in visual science to measure the clarity of the human eye to distinguish the boundary of objects. As one of the important indicators to measure human vision, contrast sensitivity can not only be used to predict visual neuropathology, such as amblyopia, glaucoma, optic neuritis and diabetic retinopathy, etc.; it can also be used in other visual perception studies, such as based on contrast sensitivity Functions for high dynamic range video coding, etc. [0003] The detection of contrast sensitivity was simulated as early as 1760 by using two candles to ill...

AI Technical Summary

Problems solved by technology

[0007] 1. The detection time is too long and the accuracy is not high. Some methods increase the detection speed, but the accuracy also decreases accordingly; some methods balance the detection speed and accuracy

[0008] 2. The operation is too complicated and the detection is not convenient enough

The detection of these methods requires the support of computer equipment, which greatly increases the detection conditions.

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