Prior Knowledge For Coarse To Fine PCB Resistor Segmentation

He, Yan; Chen, Zaozao; Liu, Mengyuan; Liu, Lunyu; Liu, Yuhan

doi:10.1109/cisai54367.2021.00197

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2023

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“…In addition, color-based segmentation approaches and statistical analysis are also popularly proposed. Yan et al refined the traditional segmentation results on PCB resistors using local gray-level distributions [9]. Jadon et al proposed morphological operation using binarization and mean a shift to cluster resistor values [10].…”

Section: Introductionmentioning

confidence: 99%

Ant Colony Optimization for Resistor Color Code Detection

Wibawanto,

Kirana,

Ramadhan

2023

Knowl. Eng. Data Sci.

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In the early stages of learning resistors, introducing color-based values is needed. Moreover, some combinations require a resistor trip analysis to identify. Unfortunately, a resistor body color is considered a local solution, which often confuses resistor coloration. Ant Colony Optimization (ACO) is a heuristic algorithm that can recognize problems with traveling a group of ants. ACO is proposed to select commercial matrix values to be computed without preventing local solutions. In this study, each explores the matrix based on pheromones and heuristic information to generate local solutions. Global solutions are selected based on their high degree of similarity with other local solutions. The first stage of testing focuses on exploring variations of parameter values. Applying the best parameters resulted in 85% accuracy and 43 seconds for 20 resistor images. This method is expected to prevent local solutions without wasteful computation of the matrix.

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Section: Introductionmentioning

confidence: 99%