Threshold segmentation method and system based on regional variance weight

Abstract

The invention relates to a threshold segmentation method and system based on a region variance weight, and the method comprises the steps: obtaining a first threshold Th1 through employing an improved Otsu threshold segmentation algorithm, segmenting an image into a background region and a target region based on the first threshold Th1, and calculating the variance of the two segmented regions; solving a second threshold Th2 by using a maximum entropy threshold segmentation algorithm, segmenting the image into a background region and a target region based on the second threshold Th2, and calculating the variance of the two segmented regions; and then, a weight coefficient is introduced to balance the size of the proportion of the four variances, the size of two threshold values is adaptively adjusted through the weight coefficient, so that an accurate segmentation threshold value Th is obtained, and the image is segmented into a background region and a target region based on the segmentation threshold value Th. The method and the system are beneficial to accurately segmenting the image into the target area and the background area without losing image texture details.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a threshold segmentation method and system based on regional variance weights. Background technique [0002] Electrowetting display is a new type of reflective display that relies on ambient light display. It has the advantages of low power consumption, no radiation, fast response speed, and easy colorization. It has broad application prospects in the electronic paper industry. However, in practical applications, electrowetting electronic paper has problems such as ink reflow, oil film rupture, charge trapping, and contact angle hysteresis. Higher problems affect the display of electrowetting electronic paper. The commonly used method to improve image contrast is histogram equalization, but this method will cause the image to be over-enhanced and under-enhanced. In order to avoid the influence of high-probability grayscale on low-probability grayscale in th...

AI Technical Summary

Problems solved by technology

However, in practical applications, electrowetting electronic paper has problems such as ink reflow, oil film rupture, charge capture, and contact angle hysteresis. When electrowetting electronic paper displays images, image details and textures are not clear, image distortion, and poor contrast Advanced Issues Affecting Electrowetting E-Paper Displays

The commonly used method to improve image contrast is histogram equalization, but this method will cause the image to appear over-enhanced and under-enhanced.

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