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Figure tree is a hierarchical presentation which describes the structure of image space based on the collections of regions from an image. And it is constructed through process of multi-scale image segmentation, in which attributes of each node in the tree are calculated and relationships among the nodes retrieved. As a description of an image layout, the knowledge about shapes, or other geometrical...
In this paper a universal steganalysis scheme is proposed for images. The scheme is based on the characteristic function moments of three-level wavelet subbands including the further decomposition coefficients of the first scale diagonal subband. The first three order statistical moments of each band are selected to form a feature vector for steganalysis. The Euclidean distance is used as the separability...
Based on the researches of LSB (least significant bit, i.e. the last bit of a binary pixel value) matching steganographic method and the steganalytic method which aims at histograms of cover images, this paper proposes a new LSB matching steganographic method. A steganographic information table is defined to record the changes which are introduced by the embedded secrete bits. According to the table,...
We propose a new skew detection algorithm, which is based on the lowest pixels of a set of characters. The skew angle is evaluated by applying moment calculation, and the method to get characters in one text-line is described in detail. Document images of various languages, including English and Chinese, can be validly treated by this algorithm. Both the document images with large skew angle and the...
This paper proposes a fully unsupervised anomaly detection strategy in hyperspectral imagery based on mixture learning. Anomaly detection is conducted by adopting a Gaussian mixture model (GMM) to describe the statistics of the background in hyperspectral data. One of the key tasks in the application of mixture models is the specification in advance of the number of GMM components, the determination...
Interest points have been used as local features with success in many computer vision applications such as image/video retrieval and object recognition. However, a major issue when using this approach is a large number of interest points detected from each image and created a dense feature space. This influences the processing speed in any runtime application. Selecting the most important features...
Acquiring positioning centers and number from the nerve slice images automatically is one of the key to extracting the edges of fascicular groups. Essentially that is to cluster those pixels in the nerve slice image which represent the fascicular groups. Because those pixels are distributed discretely and the fascicular groups often split and converge quickly while extending, this paper designs the...
A modified Sobel edge detection is proposed in this paper. Dempster-Shafer theory, also known as the theory of belief function, is applied to improve the drawbacks of the conventional Sobel operator, for instance, the thick edge and sensitive to noise. The reason is that by selecting the mass function, Dempster-Shafer theory can distinguish the edge pixels from the uncertain edge pixels correctly,...
In this paper we introduce a path extraction algorithm for multi-stroke scribbled paths by making use of path-centred concentric sampling circles. Circle and line geometry is then exploited to efficiently obtain piece-wise linear models of the multi-stroke segments in the drawing. Parzen window estimation is used to obtain the probability distribution of the grey-level profile of the sampling circles...
We present a region-based active contour approach to segmenting masses in digital mammograms. The algorithm developed in a Maximum Likelihood approach is based on the calculation of the statistics of the inner and the outer regions (defined by the contour). The Poisson distribution that has been deemed in the past adequate for modeling mammograms is applied as the probability density function. The...
Aiming at the problem on determining breakage rate of corn seeds in real time, a method for identifying broken corn seeds was presented based on contour curvature. The broken corn seeds were classified into three classes according to damage position and level. Firstly, the seed contour was rebuilt with Fourier descriptors to achieve smooth contour. Then, contour curvature was calculated and the point...
Corner points are formed from two or more edges and edges usually define the boundary between two different objects or parts of the same objects. In this novel we discuss the theory of the Harris corner detection and indicate its disadvantage. Then it proposes an improved algorithm of Harris detection algorithm based on the neighboring point eliminating method. It reduces the time of the detection,...
As a method of image feature extraction, centroid detection algorithm has been applied in many fields. Uncertainty evaluation of centroid detection is an important approach to evaluating the reliability of centroid detection. This paper presents a new method for uncertainty evaluation of centroid detection. The uncertainty associated with the intensity of a pixel, which involves in centroid detection,...
The quantization based embedding systems are usually used in the information hiding domain, thanks to their efficiency and simplicity. In other hand, they are known to be insecure in steganography context (according to Cachins' security definition) because they distort the stego-signal density function. In this paper, we show that an important kind of quantization based systems (those resulting from...
Swipe fingerprint sensor, which can acquire a series of sequence fingerprint images, is now widely used in order to reduce the cost of fingerprint image acquisition. This paper presented a new method of sequence fingerprint image mosaic. On the cases that fingerprint swipes in a non-uniform speed, the phase-correlation algorithms are mainly applied to calculate the offset of swiping direction, while...
This paper addresses gradual transition detection which is part of video segmentation problem, and consists in identifying the boundary between consecutive shots. In this work, we propose an approach to cope with gradual transition detection in which we define and use a new dissimilarity measure based on the size of the maximum cardinality matching calculated using a bipartite graph with respect to...
The proposed system identifies the species of the wood using the textural features present in its barks. Each species of a wood has its own unique patterns in its bark, which enabled the proposed system to identify it accurately. Automatic wood recognition system has not yet been well established mainly due to lack of research in this area and the difficulty in obtaining the wood database. In our...
This paper describes a practical several moving objects area extraction using a half-cosine function wavelet network. The network decomposes an image into weighted basis functions corresponding to spatial frequency. In this method, objects are distinguished by using a difference of object's size. First, moving objects area can be extracted from the weight image of the basis functions which constructs...
In this work a variational model is proposed for simultaneous smoothing and multiphase image segmentation. By assuming that the pixel intensities are independent samples from a mixture of Gaussians, and by interpreting the phase fields as probabilities of pixels belonging to a certain phase, the model formulation is obtained by maximizing the mutual information between image features and phase fields...
Edge detection is an important field in image processing. It can be used in many applications such as feature detection and extraction. An edge is detected as the discontinuity in intensity level of a point. So edges are mostly detected using either the first derivatives, called gradient, or the second derivatives, called Laplacien. In this paper, we propose a new edge detector using the gradient...
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