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Gridding cDNA microarray images is a critical step in gene expression analysis, since any errors in this stage are propagated in future steps in the analysis. We propose a fully automatic approach to detect the locations of the spots. The approach first detects and corrects rotations in the sub-grids by an affine transformation, followed by a polynomial-time optimal multi-level thresholding algorithm...
In this paper, we deal with the technique for detection of the location of markers on characteristic points for motion capture, and adopt the classic LED marker technique. The reason that we adopt this technique is to perform motion capture even in places where dark and light are mixed. For tracking the markers, most on-marker techniques have problems, such as difficulty in distinguishing between...
Handwriting identification is a hot topic in the field of pattern recognition. In this paper, we propose a novel method for off-line Chinese handwriting identification based on stroke shape and structure. To extract the features embedded in Chinese handwriting character, two special structures have been explored, which are bounding rectangle and TBLR quadrilateral. 16 features are extracted from the...
In recent years, researchers have paid more and more attention to computer vision, pattern recognition and human-computer interaction. Recognizing barcode in real-time video is an embodiment of these techniques. This paper presents an algorithm which can locate barcode region in complex background through region-based image analysis. Being different from traditional region-based image analysis, the...
This paper explores the use of Two-Dimensional Robust Neighborhood Discriminant Embedding (2D-RNDE) as a means to improve the performance and robustness of face recognition. 2D-RNDE is based on graph embedding framework and Fisher's criterion, it can utilize the original two-dimensional image data directly and takes into account the Individual Discriminative Factor (IDF) which is proposed to describe...
Stereo vision algorithms can be divided into several general stages. Detailed analysis on each specific stage allows focused improvement of the entire algorithm. Existing stereo vision algorithms typically prioritize pixel and sub-pixel accuracy, focusing on the optimization stage, while commercial algorithms which prioritize real-time operation typically focus on the cost calculation stage. This...
Steganographic techniques have been used for centuries. Using steganography, secret messages can be embedded inside a piece of unsuspicious information and sending it without anyone's knowledge about the existence of the secret message. Steganalysis is the mechanism of detecting the presence of hidden information in the stego media and it can lead to the prevention of disastrous security incidents...
Most commercially available image sensors send image data at high speed and pixel values can only be accessed sequentially. Random access of pixels is not possible because pixel values are sent row-after-row. On the other hand, commercial microcontrollers run at slower speed compared to the high data-rate of the image sensors and many embedded system applications need random access of pixel values...
In this paper, we explored the use of certain image features, block-wise histograms of local orientations. They are used in many current object recognition algorithms, for the task of locating cephalometric landmarks on X-ray images. After reviewing existing cephalometric landmark detection systems, we show experimentally that grids of Histograms of Oriented Gradients (HOG) descriptors significantly...
In this paper, a new method for extracting edges in images is proposed. The local pixel values are normalized to make their sum become unity. Then, a nonlinear filtering process is applied to the normalized pixel values by using the sine or cosine function. Two new edge detection operators, which exploit the local convexity of the sine and cosine functions, are thus defined. The edges are detected...
We describe a system for automatic diagnosis of malignant melanoma based on digital dermoscopic images. The tool is designed for use with general practitioners, saving time and resources in the diagnostic process. A variety of indicative features are described mimicking the human approach for diagnosis. Segmentation, pattern recognition, and change detection are the important steps in our approach.
The genomic revolution promises a complete understanding of the mechanisms by which cells and tissues carry out their functions. As proteins are integral components of cell function, it is critical to understand their properties such as structure and localization. Knowledge of a protein's subcellular distribution can contribute to a complete understanding of its function. Processing of subcellular...
This paper presents a framework that uses ear images for human identification. The framework makes use of Principal Component Analysis (PCA) for ear image feature extraction and Multilayer Feed Forward Neural Network for classification. Framework are proposed to improve recognition accuracy of human identification. The framework was tested on an ear image database to evaluate its reliability and recognition...
This paper presents the results of some partitional clustering algorithms applied to the segmentation of color images in the RGB space. As more information is involved in the algorithm, and the distance measure is more flexible, the better the results. The selected algorithms for this work are the K-means, the FCM, the GK-B, and the GKPFCM. The GKPFCM gives the better results when all the algorithms...
Image segmentation is critical to image processing and pattern recognition, An image segmentation system is proposed for the segmentation of color image based on neural networks. First, we introduce BP Neural network, it has the capacity of parallel computing, distributed saving, self-studying, fault-to-learnt and nonlinear function approximating. So it widely used in image segmentation, but it also...
With the progress in image processing and pattern recognition, computerized tongue diagnosis has received considerable recent research interest. In computerized tongue diagnosis, reflection is unavoidable in the acquisition of tongue images. Correct detection of the highlight area and removal of reflection in tongue images is requisite and would greatly affect the performance of tongue texture analysis...
It's well-known that visual secret sharing aims at encrypting a secret image into numerous meaningless sharing images by either designing a well-designed codebook or generating random bit sequence, and reconstructing the secret by superimposing them without any computation involved. However, the traditional visual secret sharing schemes only deal with one secret at a time. In this paper, the authors...
Texture segmentation by Pseudo Jacobi -Fourier moments is presented in this paper. Given a window size, moments for each pixel in the image are computed within small local windows, and then texture feature images be obtained by using a nonlinear transducer. Finally, each pixel in the image is classified by K-mean clustering algorithm.
Handwritten character recognition has received extensive attention in academic and production fields. The recognition system can be either on-line or off-line. Off-line handwriting recognition is the subfield of Optical Character Recognition . In this paper, We introduce the fundamental principles of Chinese handwritten numerals, including digital image preprocessing, segmentation, features extraction...
Thinning is a process of reducing an object in a digital image to the minimum size necessary for machine recognition of that object. Efficient and reliable thinning of image patterns is essential to a variety of applications in the field of image analysis and recognition system. In this paper we propose two new iterative algorithms for thinning binary images. In the first algorithm, thinning is accomplished...
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