2016 39th International Spring Seminar on Electronics Technology (ISSE) 2016
DOI: 10.1109/isse.2016.7563188
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Image processing of die attach's X-ray images for automatic voids detection and evaluation

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Cited by 11 publications
(6 citation statements)
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“…X-ray is nowadays the most popular inspection method in development and production of electronics. X-ray is mostly used to detect solder bridges, voids (gas/resin inclusions in the solder joint) and non-wetted solder areas (unsoldered regions due to residues or contamination on component or substrate) [12,13]. However, X-ray is not suited for crack detection [14].…”
Section: A X-ray Inspectionmentioning
confidence: 99%
“…X-ray is nowadays the most popular inspection method in development and production of electronics. X-ray is mostly used to detect solder bridges, voids (gas/resin inclusions in the solder joint) and non-wetted solder areas (unsoldered regions due to residues or contamination on component or substrate) [12,13]. However, X-ray is not suited for crack detection [14].…”
Section: A X-ray Inspectionmentioning
confidence: 99%
“…The void ratio (Void area compared to solder interconnect area) was determined by an in-house developed image processing algorithm in MATLAB and is complex compared to even advanced algorithms [26]. The fine internal metallic structures with sharp edges of the LEDs (e.g., top metallization of the submount, wire bonds and gold stud bumps) prevent a simple threshold analysis.…”
Section: A Void Inspectionmentioning
confidence: 99%
“…X-ray is used to look for die attachment defects by its ability to penetrate the substrate material and detect hidden faults such as voids in die attachment [29], defective solder bumps/joints/balls in a ball greed array [30][31][32][33][34][35][36][37]. In [29], radiographic images were acquired from a semiconductor chip and then image processing methods were employed to automatically compute the amount of epoxy die attachment voids. In [30], a method for automatic detection and location of voids in die attachment solder joints was developed.…”
Section: X-raymentioning
confidence: 99%
“…In [26], the pre-processing stage consisted of two steps of image segmentation for extracting the IC under inspection from a captured image by using a geometric feature vector. Image data acquired via x-ray often use image processing algorithms such as filtering, energy normalization, thresholding, and image enhancement for defect detection as discussed in [29][30][31][32][33][34][35][36][37]. In [38][39][40][41][42][43][44], images of flip chips captured by SAM systems were first segmented based on the flip chip structure using different segmentation techniques.…”
Section: Image Processingmentioning
confidence: 99%