A Study of Human Vision Inspection for Mura

Abstract

In the present study, some factors were considered such as the various types and sizes of real Mura, and Mura inspection experience. The steps of data collection and experiments were conducted systematically from the viewpoint of human factors. From the experimental results, Mura size was the most important factor on visual contrast threshold. The purpose of this research was to objectively describe the relationships between the Mura characteristics and visual contrast thresholds. Furthermore, a domestic JND model of LCD industry was constructed. This model could be an inspection criterion for LCD industry.

Demerit-Fuzzy Rating Mechanism and Monitoring Chart

“…(24). In this case, it implies thatã is strongly indifferent fromb, which may also be interpreted asã being indifferent fromb in the sense ofã being larger thanb.…”

“…It can be noted that human subjectivity is unavoidable due to the cause of visual sensitivity, perception, and fatigues. 23,24 Normally, the Mura defects are classified as Table 2. The fuzzy weight for each classification is listed in Table 3.…”

Automatic inspection method for macro defects in TFT-LCD color filter fabrication process

“…Most of TFT-LCD companies use the human eye-based inspection method because it shows best inspection efficiency. However, the inspection results using this method can vary with the human operator due to the limitations of inspection time, sensitivity, differing inspection skills, and experience of each inspector [2]. Especially, the growing size of TFT-LCD glasses increases the probability for macro defects and inspector errors.…”