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Successive levelings are applied on document images. The residues of successive levelings are made of flat zones for which morphological transforms are described.
This paper proposes a performance evaluation method for text detection in color images. The method, contrary to previous approaches, is not based on the inexplicitly defined text bounding boxes for the evaluation of the text detection result but considers only the text pixels detected by binarizing the image and applying a color inversion if needed. Moreover, in order to gain independence from the...
The Functions of Multiple Instances (FUMI) method for learning a target prototype from data points that are functions of target and non-target prototypes is introduced. In this paper, a specific case is considered where, given data points which are convex combinations of a target prototype and several non-target prototypes, the Convex-FUMI (C-FUMI) method learns the target and non-target patterns,...
Covariance matrices have recently been a popular choice for versatile tasks like recognition and tracking due to their powerful properties as local descriptor and their low computational demands. This paper outlines similarities of covariance matrices to the well-known structure tensor. We show that the generalized version of the structure tensor is a powerful descriptor and that it can be calculated...
The objective of this research is to build an automatic method for recognizing a Thai herb flower based on the Minimum Distance Method. The herb flower images, acquired from a digital camera, are taken in the real environment. We use the characteristics of herb flowers to design our classification algorithms, which consist of the average red, green and blue (RGB) colors, the herb flower size and the...
In this paper, we propose an algorithm for finger vein recognition with less complexity in the image preprocessing phase, where finger vein pattern extraction is not included at all. In the proposed algorithm, we implement phase-only correlation (POC) function at the matching stage with a very simple preprocessing technique. Experimental evaluation of the proposed algorithm using a set of finger vein...
The pattern recognition of remote sensing images is based on the different spectral characteristics of surface features to identify the features type, mainly including the supervised classification and unsupervised classification. In this paper, the TM remote sensing images are preprocessed firstly, and then land-covered features are classified using the maximum likelihood method, the minimum distance...
Aiming at the online fault diagnoses, the texture features which are usually used in image processing are firstly applied in the early fault signal recognition problems. After the parameter R based on gray-level co-occurrence matrix is defined, the parameter R extraction method of texture features is presented. Then, the novel fault signal recognition algorithm based on the parameter R of the texture...
The classification of flowering plants is a significant part of plant taxonomy. Automatic recognition of flowers using computer technology is of great social benefits. We analyze the features and disadvantages of existing methods, and propose a regional feature extraction method based on the shape characteristics of flowers. Since most flowers bloom radially and provide centrosymmetric features for...
We consider the problem of automatically separating coal and coal gangue based on computer vision and design a coal and coal gangue separation system framework based on video. Grayscale histogram, fractal dimension and energy value are extracted as ore features. Then we design a 4-layer Levenberg Marquart BP Neural Network to implement multi-feature fusion. Test results demonstrate that the system...
This paper presents an application of computer vision methods to traffic flow monitoring and road traffic analysis. The application utilizes image-processing and pattern recognition methods designed and modified to the needs and constrains of road traffic analysis. These methods combined together gives functional capabilities of the system to monitor the road, to initiate automated vehicle tracking,...
Interval type-2 fuzzy logic can be applied to perform image processing and pattern recognition. In this work a new type-2 fuzzy logic method is applied for edge detection in images and the results are compared with three different traditional techniques for the same goal with the type-2 edge detection outperforming the other techniques.
The wood cells properties determine the physical properties of the wood. This paper analyzes the digital characteristics of the wood cells. After some analysis, this paper puts forward the recognition approach of timber species on the basis of mathematical simulation theory and establishes a hexagon mathematics model for wood cells. Various parameters have been extracted and obtained, namely area,...
In this paper, a new robust corner detection method is proposed for detecting and localizing corners of planar curves. First, edges are extracted using a canny detector. Then, a local line detector is developed, and edge-pixels are labeled on the basis of the information provided by the local line detector. After egde labeling, the approximate location of the corners are determined. Finally, the minimum...
The iPhone is one of the most powerful, complete and versatile portable phones on the market. There are presently more than 150.000 applications available for the iPhone, and its users had downloaded more than three billion applications so far. The iPhone have several capabilities that makes it an interesting platform for the development of applications that use image processing, computer graphics...
The representation of writing styles is a crucial step of writer identification schemes. However, the large intra-writer variance makes it a challenging task. Thus, a good feature of writing style plays a key role in writer identification. In this paper, we present a simple and effective feature for off-line, text-independent writer identification, namely wavelet domain local binary patterns (WD-LBP)...
This paper proposes the use of a new symmetry property based on proximity of the median moments in the wavelet domain. The method divides a given frame into 16 equally sized blocks to classify the true text frame. The average of high frequency subbands of a block is used for computing median moments to brighten the text pixel in a block of video frame. Then K-means clustering with K=2 is applied on...
In this paper, we present an approach for symbol representation and recognition in line drawings, integrating both the vector-based structural description and pixel-level statistical features of the symbol. For the former, a vectorial template is defined on the basis of the vectorization model and exploited in segmenting symbols from the line network. For the latter, a Radon-transform-based signature...
In this paper, we present an effective method for human action recognition using statistical models based on optical flow orientations. We compute a distribution mixture over motion orientations at each spatial location of the video sequence. The set of estimated distributions constitutes the direction model, which is used as a mid-level feature for the video sequence. We recognize human actions using...
This article is concerned with on-line counting of harmful insects of certain species in videos in the framework of in situ video-surveillance that aims at the early detection of prominent pest attacks in greenhouse crops. The video-processing challenges that need to be coped with concern mainly the low spatial resolution and color contrast of the objects of interest in the videos, the outdoor issues...
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