Browsing by Author "Yin, IC"

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Automatic mura detection system for liquid crystal display panels
(2006-01-01)
Fang, LT
;
Chen, HC
;
Yin, IC
;
Wang, SJ
;
Wen, CH
In this paper, we propose an automatic inspection system, which can automatically detect four types of muras on an LCD panel: cluster mura, v-band mura, rubbing mura, and light leakage mura. To detect cluster muras, the Laplacian of Gaussian (LOG) filter is used. A multi-resolution approach is proposed to detect cluster muras of different scales. To speed up the processing speed, this multi-resolution approach is actually implemented in the frequency domain. To detect v-band muras, we check the variation tendency of the projected I-D intensity profile. Then, v-band muras are detected by identifying these portions of the I-D profile where a large deviation occurs. To detect rubbing muras, we designed a frequency mask to detect distinct components in the frequency domain. To detect light leak muras, we apply image mirroring over the boundary parts and adopt the same LOG filter that has been used in detecting cluster muras. All four types of mura detection are integrated together in an efficient way and simulation results demonstrate that this system is indeed very helpful in detecting mura defects.
Automatic mura detection system for liquid crystal display panels - art. no. 60700G
(2006)
Fang, LT
;
Chen, HC
;
Yin, IC
;
Wang, SJ
;
Wen, CH
In this paper, we propose an automatic inspection system, which can automatically detect four types of muras on an LCD panel: cluster mura, v-band mura, rubbing mura, and light leakage mura. To detect cluster muras, the Laplacian of Gaussian (LOG) filter is used. A multi-resolution approach is proposed to detect cluster muras of different scales. To speed up the processing speed, this multi-resolution approach is actually implemented in the frequency domain. To detect v-band muras, we check the variation tendency of the projected I-D intensity profile. Then, v-band muras are detected by identifying these portions of the I-D profile where a large deviation occurs. To detect rubbing muras, we designed a frequency mask to detect distinct components in the frequency domain. To detect light leak muras, we apply image mirroring over the boundary parts and adopt the same LOG filter that has been used in detecting cluster muras. All four types of mura detection are integrated together in an efficient way and simulation results demonstrate that this system is indeed very helpful in detecting mura defects.
Combinational AE-AF system with fuzzy climbing search servo
(2006-01-01)
Chen, CY
;
Tseng, CY
;
Hung, CH
;
Yin, IC
;
Wang, SJ
This paper presents a combinational system, which can perform the functionalities of Auto Focus (AF) and Auto Exposure (A-E) at the same time in a very efficient manner. At the first step, this system uses a DOG (Difference of Gaussian) filter to measure image's contrast and sharpness simultaneously. Then, a fuzzy logic-based scheme is proposed for the adjustment of focus and exposure. This system can be easily implemented with low hardware complexity.
Combinational AE-AF system with fuzzy climbing search servo - art. no. 60690B
(2006)
Chen, CY
;
Tseng, CY
;
Hung, CH
;
Yin, IC
;
Wang, SJ
This paper presents a combinational system, which can perform the functionalities of Auto Focus (AF) and Auto Exposure (A-E) at the same time in a very efficient manner. At the first step, this system uses a DOG (Difference of Gaussian) filter to measure image's contrast and sharpness simultaneously. Then, a fuzzy logic-based scheme is proposed for the adjustment of focus and exposure. This system can be easily implemented with low hardware complexity.