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According to wide variety of face applications, a fast and reliable face detection approach is one of the most disturbances in the image processing applications. One of the fast and successful approaches in this field was presented by Viola. Low speed, insensitive to faces with partially missing parts and false detection are open problems of this approach. In this paper, skin mask is used to limit...
In this work we present a fully automated method for the accurate detection of cell nuclei boundaries in conventional Pap smear images, based on the watershed transform. For the extraction of nuclei and cytoplasm markers, which are used as starting points for the flooding process, a morphological reconstruction step is initially performed in each image. The watershed transform is then applied in the...
This paper presents an algorithm to extract the region of interest (ROI) from the palm print image of the Hong Kong PolyU large-scale palm print database (version 2). Competitive coding method is used for feature extraction. Coding based methods are among the most promising palm print recognition methods because of their small feature size, fast matching speed, and high verification accuracy. Competitive...
Face detection is one of the challenging problems in image processing. A novel face detection system is presented in this paper and we propose a new approach using Takagi-Sugeno (T-S) fuzzy model and Hue Saturation and Value (HSV) color model. The algorithm uses fuzzy classifier in conjunction with HSV color model to quickly locate faces in the image. The fuzzy classifier basically examines small...
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...
In the presented research on codebook optimization for vector quantization, an associative memory architecture is applied, which searches the most similar data among previously stored reference data. For realizing the learning function of new codebook data, a learning algorithm is implemented, which is based on this associative memory and which imitates the concept of the human short/long-term memory...
In this paper, a clustering method for handwritten digit recognition is studied. The digit samples, firstly are processed and features are extracted. Based on these features, a clustering method is designed and implemented to cluster the digit samples. Experiments finally show that the clustering method is efficient in handwritten digit recognition.
This paper presents a novel approach for recognition of unconstrained handwritten Marathi characters. The recognition is carried out using multistage feature extraction and classification scheme. The initial stages of feature extraction are based upon the structural features and the classification of the characters is done according to their parameters. The final stage of feature extraction employs...
In this paper, we propose a pedestrian analysis solution helpful for adaptive content delivery and interest measurement for outdoor advertisement displays. The proposed system has built-in camera on the top panel of such displays which capture the real time viewers' frames. The captured frames have been analyzed for detection of faces using Viola-Jones algorithm. The detected faces have been processed...
This paper makes an attempt to segment the handwritten Devnagari words. Segmentation of script is essential for handwritten script recognition. Segmentation affects recognition so accurate segmentation is important for implementing OCR. Little work had been reported towards segmentation of handwritten text. Segmentation of handwritten words is a bit complicated as the shape of the handwritten characters...
The disadvantages of the Fast Thinning Algorithm and Improved OPTA Thinning Algorithm, i.e. incomplete thinning, not smooth and burr were analyzed and studied. The serial algorithm based on 4-connectivity parallel thinning was presented which had the advantage of quick speed and complete thinning. The lookup tables method was introduced in order to improve the operation speed. The thinned thenar palm...
An attempt has been made in the paper to find globally optimal cluster centers for remote-sensed images with the proposed Rapid Genetic k-Means algorithm. The idea is to avoid the expensive crossover or fitness to produce valid clusters in pure GA and to improve the convergence time. The drawback of using pure GA in the problem is the usage of an expensive crossover or fitness to produce valid clusters...
Intelligent Computer Aided Diagnosis (CAD) Systems can be used for detecting Microcalcification (MC) clusters in digital mammograms at the early stage. CAD systems help radiologists in identifying tumor patterns in an efficient and faster manner than other detection methods. In this paper, we propose a new approach for detecting tumors in mammograms using Radial Basis Function Networks (RBFNN). Prior...
To segment magnetic resonance image series is an interdisciplinary topic that involves both medical and computer science. It is one of the most important steps for medical diagnosis and quantitative analysis. This paper proposes an automatic segmentation method based on support vector machine (SVM). Feature vectors are generated according to both grayscale value and texture pattern of MR brain images...
Embedded Image Coding provides a gradual improvement in the reconstruction of image as transmission proceeds. Designing of a successful embedded image compression algorithm involves the method of modeling and ordering in wavelet domain. A new embedded image compression algorithm Pixel Classification and Sorting (PCAS) is employed because of its effective and excellent compression performance. Watermarking...
This paper proposes a new connected component labeling algorithm for GPGPU applications based on NVIDIA's CUDA. Various approaches and algorithms for connected component labeling with minimal execution time were designed, but the most of them have been focused on optimizing CPU algorithm. Therefore it is hard to apply these approaches to GPGPU programming models such as NVIDIA's CUDA. Today, GPGPU...
Traffic Signs provide drivers with very valuable information about the road, in order to make driving safer and easier. They are designed to be easily recognized by human drivers mainly because their color and shape are very different from natural environments. Automatic traffic sign detection and recognition is important in the development of unmanned vehicles, and is expected to provide information...
Human face detection is a key technology in face information processing, the speed of which is very important during real-time face detection for input images or input video sequences. This paper presents a novel face window searching algorithm based on evolutionary agent when detecting faces in gray-scale images. It can quickly And the candidate face windows through the evolutionary computation of...
Understanding timely of the changes in land resources, rapid and accurately access to land information has become one of the important foundations that solved the conflict between man and land. This paper selects a region study in the west of Chengdu, application of "QuickBird" data, measurement and statistics and other auxiliary data, combined with Erdas Imagine, eCogntion and ArcView and...
Bohai Sea, due to its proximity to China's capital Beijing, is one of the busiest seaways in the world. The worst sea ice over the past four decades has covered over 40 percent of the waters of Bohai during this February and March, according to the National Marine Environmental Forecasting Center (NMEFC). The ice has affected marine transport, fishing, aquatic breeding and offshore mining in the area...
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