A Real-Time Histogram Equalization System with Automatic Gain Control Using FPGA

Cho, Jung Uk; Jin, Seunghun; Kwon, Key Ho; Jeon, Jae Wook

doi:10.3837/tiis.2010.08.011

Cited by 4 publications

(1 citation statement)

References 12 publications

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“…To be specific, the keyhole inside the head of the weld pool has a highest brightness, while there is a decline in irradiance from the head to the tail of the weld pool. The automatic gain control (AGC) strategy is commonly used in camera imaging, which depends on the statistic analysis of the pixel histogram instead of the irradiance distribution [17]. It is not suitable to record the details inside the weld pool because it has high irradiance.…”

Section: Irradiance-based Imaging Of Weld Poolmentioning

confidence: 99%

A high-dynamic-range visual sensing method for feature extraction of welding pool based on adaptive image fusion

Zhang

Shi

Cui

et al. 2021

Int J Adv Manuf Technol

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The high dynamic range existing in arc welding with high energy density challenges most of the industrial cameras, causing badly exposed pixels in the captured images and bringing difficulty to the feature detection from internal weld pool. This paper proposes a novel monitoring method called adaptive image fusion, which increases the amount of information contained in the welding image and can be realized on the common industrial camera with low cost. It combines original images captured rapidly by the camera into one fused image and the setting of these images is based on the real time analysis of realistic scene irradiance during the welding. Experiments are carried out to find out the operating window for the adaptive image fusion method, providing the rules for getting a fused image with as much as information as possible. The comparison between the imaging with or without the proposed method proves that the fused image has a wider dynamic range and includes more useful features from the weld pool. The improvement is also verified by extracting both the internal and external features of weld pool within a same fused image with proposed method. The results show that the proposed method can adaptively expand the dynamic range of visual monitoring system with low cost, which benefits the feature extraction from the internal weld pool.

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Section: Irradiance-based Imaging Of Weld Poolmentioning

confidence: 99%