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Ni et al (2003) proposed an image lossless data hiding algorithm using pairs of zero-points and peak-points, in which the part of an image histogram is shifted to embed data. Lossless data embedding algorithm based on the histogram shifting in spatial domain is proposed. Fridrich suggested general methodologies for lossless embedding that can be applied to(More)
In this paper, we utilized machine vision and image processing to develop an image detection flow for the dimension and appearance of multilayer ceramic capacitors (MLCC), and also used proposed automatic optical inspection (AOI) system in the MLCC production line operation. We compared the advantages and disadvantages of Hough Transform and Histogram(More)
In this paper, we propose a feature generation and classification approach for universal steganalysis based on Genetic Algorithm (GA) and higher order statistics. The GA is utilized to select a subset of candidate features, a subset of candidate transformations to generate new features. The Logistic Regression Model and Bayesion Network Model are then used(More)
We proposes a method to estimate secret message length of secret message embedded using quantization index modulation (QIM) based data hiding in digital images. The Secret Message Length estimation equation is constructed used for embedding ratio estimation. Our experimental results have demonstrated that the proposed steganalyzers can is a reliably way to(More)
Four different finishing techniques were used in a dentin bonding agent/composite resin restoration to evaluate the possible influence of finishing technique on microleakage. Results indicated that finishing technique affects the ability of the restorative system to resist microleakage. Under the conditions of this study, best results were achieved with a(More)
Teeth treated with smear layer-mediated dentinal bonding agents and restored with composite resin were examined at the dentin-restoration interface by means of scanning electron microscopy used in conjunction with energy dispersive x-ray analysis. Results indicated that these dentinal bonding agents actually bonded to the smear layer, and samples(More)
One important consideration in the selection of a dentin bonding agent/composite resin system is its resistance to marginal leakage. The purpose of this study was to compare both the extent and the pathways of marginal leakage for four currently available dentin bonding agent/composite resin systems. Class 5 restorations were placed in the buccal and(More)
This study compared microleakage patterns for glass-ionomer-cement-based resin systems with and without a separating agent placed between the glass ionomer and resin. Results indicated significant leakage (100%) at the dentin glass-ionomer interface for specimens without a separating agent. Those with a separating agent showed almost no leakage between the(More)
Several recently marketed dentinal bonding agents modify, but do not remove, the smear layer. Some controversy exists as to whether the smear layer should be left in place or completely removed from preparations to be restored with composite resin systems. This study utilized scanning electron microscopy with energy dispersive x-ray analysis to evaluate the(More)
In this paper, we propose a feature selection and transformation approach for universal steganalysis based on Genetic Algorithm (GA) and higher order statistics. We choose three types of typical statistics as candidate features and twelve kinds of basic functions as candidate transformations. The GA is utilized to select a subset of candidate features, a(More)