In this paper, inspired by an inherent characteristic of human visual system capable of
recognizing salient regions from a complicated scene, we treat a defective region as a …

Textile industries play a major role in the growth of the economy of developing and
developed countries. The faulty parts in the fabric are the main problem for the textile …

This paper presents a machine vison method based on mathematical morphology for defect
detection in machined surfaces that contain circular tool-marks. The traditional morphology …

In modern days the detection of defects in textile industries using digital image processing
techniques is an emerging area of research. The faulty fabric is subjected to several image …

Fabric defect detection is a significant phase of quality control in textile industry. Manual
defect inspection lacks the accuracy and the labor cost is high. Automating this process is …

Fabric inspection system is important to maintain the quality of fabric. Fabric inspection is
carried out manually with human visual inspection for a long time. The work of inspectors is …

Fabric defect detection is a crucial quality control step in the textile manufacturing industry. In
this article, a machine vision system based on the Sylvester Matrix‐Based Similarity Method …

Polar body position detection is a necessary process in the automation of micromanipulation
systems specifically used in intracytoplasmic sperm injection (ICSI) applications. The polar …

In this paper spatially adaptive Mathematical Morphology (MM) is studied for color images.
More precisely, the General Adaptive Neighborhood Image Processing (GANIP) approach is …

A product without quality leads to loss and lack of customer satisfaction. This is true in case
of textile industries also. Textile manufacturing is a process of converting various types of …