For most engineering projects in cold regions, the constraint damage between concrete
structures and surrounding soil starts from the stick–slip failure of the frozen soil-concrete …

This article presents developed hardware and software solutions based on the application of
machine vision technology. The hardware and software solutions were created in order to …

Information identification with image data by means of low‐level visual features has evolved
as a challenging research domain. Conventional text‐based map** of image data has …

The consumer behavior has been observed to be largely influenced by image data with
increasing familiarity of smart phones and World Wide Web. Traditional technique of …

This work aimed to find a robust thresholding technique to image binarization for the gray
level images. Thresholding is a simple method that plays a vital role in image segmentation …

Fast reconstruction of holographic and diffractive optical elements (DOE) can be
implemented by binary digital micromirror devices (DMD). Since micromirrors of the DMD …

Thresholding is a prerequisite for many computer vision algorithms. By suppressing the
background in an image, one can remove unnecessary information and shift one's focus to …

Content-Based Image Classification: Efficient Machine Learning Using Robust Feature
Extraction Techniques is a comprehensive guide to research with invaluable image data …

With the continuous expansion of the photovoltaic industry, the application of solar
photovoltaic power generation systems is becoming increasingly widespread. Due to the …

Feature vector extraction has been the key component to define the success rate for content
based image recognition. Block truncation coding is a simple technique which has facilitated …