Defect Detection in Printed Circuit Boards Using Semi-Supervised Learning.

Defect inspection is essential in the semiconductor industry to fabricate printed circuit boards (PCBs) with minimum defect rates. However, conventional inspection systems are labor-intensive and time-consuming. In this study, a semi-supervised learning (SSL)-based model called PCB_SS was developed.

Color compensation of multicolor fish images.

Multicolor fluorescence in situ hybridization (M-FISH) techniques provide color karyotyping that allows simultaneous analysis of numerical and structural abnormalities of whole human chromosomes. Chromosomes are stained combinatorially in M-FISH. By analyzing the intensity combinations of each pixel, all chromosome pixels in an image are classified.

Feature normalization via expectation maximization and unsupervised nonparametric classification for M-FISH chromosome images.

Multicolor fluorescence in situ hybridization (M-FISH) techniques provide color karyotyping that allows simultaneous analysis of numerical and structural abnormalities of whole human chromosomes. Chromosomes are stained combinatorially in M-FISH. By analyzing the intensity combinations of each pixel, all chromosome pixels in an image are classified.

Maximum-likelihood decomposition of overlapping and touching M-FISH chromosomes using geometry, size and color information.

Since the birth of chromosome analysis by the aid of computers, building a fully automated chromosome analysis system has been the ultimate goal. Along with many other challenges, automating chromosome classification and segmentation has been one of the major challenges especially due to overlapping and touching chromosomes. In this paper we present a novel decomposition method for overlapping and touching chromosomes in M-FISH images.

Joint segmentation and classification of M-FISH chromosome images.

Automatic segmentation and classification of M-FISH chromosome images are jointly performed using a six-feature, 25-class maximum-likelihood classifier. Preprocessing of the images including background correction and six-channel color compensation method are introduced. A feature transformation method, spherical coordinate transformation, is introduced.

Cyclic capillary electrophoresis.

A strategy is described here for increasing both the resolution and the flexibility of capillary electrophoresis performed in a sieving medium of ungelled polymer. This strategy is based on analysis and, sometimes, re-analysis that is done in several stages of constant-field electrophoresis. Enhancement-stages are between the analysis-stages.