Xiao Yi Yu

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The reversible watermarking algorithms are developed from the time it was suggested by its pioneers. Fridrich et al, Jun Tian and Ni et al are pioneers in the field. 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(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)
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)
The cell-based antioxidant activity assay as more biological relevant assay was considered to be more accurate to predict antioxidant activity in vivo than chemical activity assays. In the present study, the five main Phyllanthus emblica L. cultivars in China were subjected for cellular antioxidant activity based on HepG2 cells as well as antiproliferative(More)
In this paper, we propose a credit scoring algorithm to predict seceders of a large Japanese company. We use features based on attributes of customer and genetic algorithm based bayesian network to detect the seceders. Experimental results on the datasets demonstrate that this method has superior results compared with other recently proposed algorithms, and(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)
—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)
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)
This paper proposes a new method to embed data in binary images, including scanned text, figures, and cartoon images. The proposed method is based on the manipulating of chains, which are a representation of binary image, to hide data. The chain records the edge information of an image, and the modifications of chains are modifications of edge area. It is(More)
In this paper, we propose a steganalysis algorithm to detect spatial domain least significant bit (LSB) matching steganography, which is much harder than the detection of LSB replacement. We use features based on histogram of run length and histogram characteristic function to detect the LSB Matching. Experimental results on two datasets demonstrate that(More)