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Using fractal theory to discuss the fractal structure and rock fractal behavior, describing some complex fractal mechanism and fractal forming process occurred in the rock damage problem, we can explain and describe the rock mechanics problem that cannot be solved in the past. Make a statistical description of complexity and solve all kinds of problems, letting these problems quantified, precise and...
In this paper, mixed information similarity measure and a multidimensional density estimation method based on multivariate Edgeworth series expansion are proposed and assessed for the task of multi-temporal change detection. To unify mutual information and variational information, mixed information is proposed to quantify the degree of dependence between two random variables, which are intuitively...
The separation of text / image is a major step in the processing of documents images. It consists of separating the document into two classes: text and image. In this context, it is important to implement approaches that can handle such documents. This paper presents a new method of separating text / image into a document image. The method developed is based on statistical analysis of texture and...
Visual interpretation of SAR images plays a critical role in remote sensing applications. For obtaining the image suitable for human observation, a new method of visualization for SAR images is proposed in this paper. The proposed algorithm takes a negative exponential transformation on the original SAR image. The parameter of the transformation can be computed rapidly based on the characteristic...
We present a novel technique implementing barehanded interaction with virtual 3D content by employing a time-of-flight camera. The system improves on existing 3D multi-touch systems by working regardless of lighting conditions and supplying a working volume large enough for multiple users. Previous systems were limited either by environmental requirements, working volume, or computational resources...
A new semantic steganographic algorithm for hiding data in the motion trajectories of Video Objects (VOs) is presented. First, a set of primitives (objects bounding-box coordinates and its centroid) are used to dene a VO. The centroid of VO is tracked in each frame and its coordinate is stored in a trajectory vector. The proposed algorithm embeds data in the VO object trajectory by presenting a relationship...
Texture features alone cannot help us to recognize faces, because there may be several people with similar texture features. Likewise geometry based features can also be similar in different people. When the two methods are experimented separately, there may be inaccurate results. There might be better results when the two methods are combined and used. So this paper tries to evaluate the performance...
With the fast evolution of the networks technology, the security becomes an important research axis. Many types of communication require the transmission of digital images. This transmission must be safe especially in applications that require a fairly high level of security such as military applications, spying, radars, and biometrics applications. Mechanisms for authentication, confidentiality,...
This paper proposes a novel confusion and diffusion algorithm for image encryption based on logistic map and cheat image. We choose the initial condition and control parameter of logistic map as the secret key. The cheat image selected from the most common images in public network, together with the chaotic matrices generated by logistic maps, is employed both in encryption and decryption processes...
In this paper we present a robust and accurate method to detect 17 facial landmarks in expressive face images. We introduce a new multi-resolution framework based on the recent multiple kernel algorithm. Low resolution patches carry the global information of the face and give a coarse but robust detection of the desired landmark. High resolution patches, using local details, refine this location....
In this paper we compare different approaches to combine color and statistical texture descriptors. Previous studies on this topic were conducted on natural images only. We focus on the particular case of histological datasets where color plays an important role due to the staining process of the biological samples. We also introduce two new variants of the well-known Local Binary Patterns (LBP) operator...
Automated high-throughput analysis of single-cell timecourse data presents a major bottleneck in live cell imaging. We present LineageTracker, an ImageJ framework to track expression of fluorescent gene reporters over multiple cell divisions. It is able to perform automatic segmentation and tracking, and allows viewing and editing of tracks. The main feature of the tracking algorithm is a statistical...
Diagnosis of white matter damage by neonatal cranial ultrasound (CrUS) is subject to inter-observer variability and has a low sensitivity to detect late abnormal neurodevelopment in life. In the last decades there have been a significant effort reporting that statistical features of ultrasound images carry important information associated with changes of tissue microstructure. In this work we explored...
In this paper, an algorithm is introduced for segmenting the foreground regions present in a human insulin crystal intensity image captured by an in-situ microscope inside of a bioreactor. The segmentation is carried out by classifying all image pixels into pixels belonging to the foreground regions and pixels belonging to the background region. For classification, the local intensity variance at...
This research is attempted to estimate the biomass and leaf area index through identifying the cotton can poy and background pixels accurately. Cotton canopy was captured indifferent growth period of cotton by using an Olympus C740Ultra Zoom digital camera. A protocol mixed hue of HLS color space with R, G value was setup and multiple judgment process was designed to extract cotton canopy pixels from...
In order to remove camera shake from a single photograph, we present a new deconvolution approach based on multi-layer statistics priors. Our approach is based on the three observations: the estimation of image gradients distribution can affect the deblurring quality; homogeneity region of the blurred image can serve to reduce ringing artifacts; regions with different homogeneities are with different...
In this paper we propose a novel approach for the robust estimation of room structure using Manhattan world assumption i.e. the frequently observed dominance of three mutually orthogonal vanishing directions in man-made environments. First, separate histograms are generated for every major axis, i.e. X, Y and Z, on stereo data with an arbitrary roll, pitch and yaw rotation. These histograms are maintained...
The steganographic method named Tri-way Pixel Value Differencing (TPVD) which is a modified version of original Pixel Value Differencing (PVD) steganography, has significantly improved the embedding capacity of original method by embedding secret bits in all horizontal, vertical and diagonal edges of cover images. However, we have shown in this paper that TPVD is drastically vulnerable to statistical...
The objective of this paper is to implement the Bit Plane Complexity Segmentation (BPCS) algorithm and provide a comparison in terms of effectiveness and hiding capacity with the least significant bits algorithm (LSB) using 4 bits. The BPCS algorithm was chosen due to the effective high hiding capacity promised. The four LSB algorithm was selected as it promised a similar capacity. The motivation...
During the image acquisition and communication the image is corrupted by noise. This is a classical problem in the field of signal or image processing. In this paper local statistical function is used to find the percentage of noise affected in the noise image. Dynamic denoising algorithm is used simultaneously as a tool for enhancing and tracking image pixel. The pixels are chosen based on the prediction...
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