Programmable Device Circuits and Systems

Jaya N. Dhanawade ¹, V. B. Baru ², P. P. Rege ³

Affiliations
1 Sinhgad College of Engineering, Vadagaon (BK), Pune, IN
2 Department of E & TC, Sinhgad College of Engineering, Vadagaon (BK), Pune, IN
3 Department of E & TC, College of Engineering, Pune, IN

Abstract

The different defects in PCB (Printed Circuit Board) are hairline, pin-hole, wrong size hole, breakout, open circuit, mis-contact, spur, mission feature, etc, and it is essential to detect these defects effectively. The Conventional automatic test equipment (ATE) offers some limitations in testing the produced PCB which has been attached, inserted and soldered the electronic components. The no contact problem, rapid image acquisition, easy operation, and simple testing reconfiguration have the advantages of the thermal imaging diagnostic system. Therefore, this approach has been widely applied in the past decade to diagnose faults on PCB.
To analyze the thermal image of PCB for faults detection proposed a novel vector quantization (VQ) based approach, which can reduce the memory size, for thermal image analysis of PCB diagnosis. Appling the proposed VQ-based approach, the gold thermal image is coded into a codebook and compared with the board under test (BUT) to identify the image blocks with faults, instead of the whole thermal image. This proposed method is demonstrated to be very effective in abnormal functional block identification for PCB based on thermal image.

Keywords

LBG Algorithm, Printed Circuit Board (PCB), Thermal Image, Vector Quantization.

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Chetan S. Deokar ¹, V. B. Baru ¹, Dhiraj M. Dhane ²

Affiliations
1 Sinhgad College of Engineering, Pune, IN
2 Marathwada Mitra Mandal's College of Engineering, Pune, IN

Abstract

FPGA (Field Programmable Gate Array) is utilized to realize the image segmentation. We describe a newfangled method for segmentation of 2-D imagery that uses resource optimized adaptive median filter for image enhancement. A pipelined implementation on FPGA for this algorithm is designed. Sobel operator is used for edge detection. Processed results of test images are presented to illustrate the performance capabilities of the proposed method. Comparison table and resource summaries are provided.

Keywords

FPGA, Image Segmentation, Sobel-Operator, Median, Adaptive Median Filter (AMF).

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