Paper Title:
Automatic Solder Joint Defect Classification using the Log-Gabor Filter
  Abstract

This paper proposes the validity of a Gabor filter bank for feature extraction of solder joint images on Printed Circuit Boards (PCBs). A distance measure based on the Mahalanobis Cosine metric is also presented for classification of five different types of solder joints. From the experimental results, this methodology achieved high accuracy and a well generalised performance. This can be an effective method to reduce cost and improve quality in the production of PCBs in the manufacturing industry.

  Info
Periodical
Advanced Materials Research (Volumes 97-101)
Edited by
Zhengyi Jiang and Chunliang Zhang
Pages
2940-2943
DOI
10.4028/www.scientific.net/AMR.97-101.2940
Citation
N. S. S. Mar, C. Fookes, K.D.V. Y. Prasad, "Automatic Solder Joint Defect Classification using the Log-Gabor Filter ", Advanced Materials Research, Vols 97-101, pp. 2940-2943, Mar. 2010
Online since
March 2010
Price
US$ 28,-
Share
Authors: Li Juan Shi, Ping Feng, Jian Zhao, Li Rong Wang, Na Che
Chapter 3: Technologies of Intelligent Systems
Abstract:In order to solve the hearing-impaired students in class only rely on sign language, amount of classroom information received less, This...
412
Authors: Q.Q. Li, C.S. Zhou, X.Q. Lv, H.Y. Yang, K. Zhang
Chapter 4: Applied Mathematics, Computational Methods and Algorithms, Data, Image and Signal Processing, Identification
Abstract:Due to the diversity and complexity of design patent images, it is difficult to retrieve well if extracting features from images directly. A...
503