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The local binary pattern (LBP) method has been widely used in texture analysis because it is excellent property of gray scale invariant. Following the basic idea of the LBP method, many robust versions of the LBP are proposed to class textures, especially the rotational textures. Conventional local binary pattern methods for texture classification are only good for common illumination changes, and...
Ant Colony Optimization (ACO) metaheuristic is a recent population-based approach inspired by the observation of real ants colony and based upon their collective foraging behavior. In This paper, the proposed technique ACO hybrid with Fuzzy segmentation. In the first step, the MRI brain image is Segmented Aco Hybrid with Fuzzy method to extract the suspicious region. In the second step deals with...
This paper describes our algorithms for players tracking and ball detection for an automatic broadcast tennis video annotation. The system detects and tracks the players using a robust non-parametric procedure for estimating density gradients called the mean shift algorithm. The basic mean shift tracking algorithm assumes that the target object has to separate sufficiently from background, but this...
Microcalcifications are one of the key symptoms facilitating early detection of breast cancer. In this paper, The textural features are extracted from the segmented mammogram image to classify the microcalcifications into benign, malignant or normal. The reduced features are selected from the extracted set of features using reduction algorithms. Initially the reduced features are normalized between...
Tuberculosis (TB) is a communicable disease for which early diagnosis is critical for disease control. Manual screening for TB identification involves a labor-intensive task with poor sensitivity and specificity. To improve the diagnostic process we develop an automated system for TB identification, which consists of an automatic microscope, an image-based autofocus algorithm and an image-based TB...
In this paper we address the issue of recognizing nonstandard Malaysian car license plates. These plates contain nonstandard characters such as italic, cursive and connected letters, which most plate recognition systems are unable to recognize. We propose a technique using stroke extraction and analysis to recognize these nonstandard characters. The proposed technique first extracts the contour of...
For any autonomous system it is very important to acquire the knowledge of the surrounding environment. Images and videos acquired by the vision based sensors can provide meaningful information about the environment, which can be very useful for the navigation of autonomous system like mobile robots. To extract road information from image frames for navigation purpose they have to be classified. Classification...
A new technique for automatic extraction of object region and boundary from the background for cell nucleus segmentation of cervical cancer images is proposed in this work. Gradient magnitude and directional information are employed to extract the exact boundary of the object under consideration. Segmentation process begins with preprocess as computation of optimum threshold based on the clusters...
In this paper, SIFT algorithm is combined with AdaBoost algorithm, and a method of feature matching based on multi-pose face is put forward. Firstly, the face region is extracted from multi-pose face images by AdaBoost. Secondly, SIFT characteristic vectors of the main regions are matched. The images of the ORL face DB are used in this paper, and some pictures taken in the experiment are used too...
Edge detection is the most basic problem in the process of image processing. The precision of traditional edge detection algorithm is not very high, it unable to meet the high precision need of modern industrial test technology. In order to overcome the deficiency, this text proposed sub-pixel edge detection algorithm based on the function curve fitting-Gauss fitting of gradient direction sub-pixel...
Face detection is a challenging problem in the field of computer vision and a key component of machine intelligence. Viola and Jones put forward a face detection framework in 2001 that can process images extremely rapidly while achieving high detection rates. This paper extends the framework to handle rotated faces through a simple improvement. The method is to rotate the detected sub-windows by 30...
ADS40 images with High spatial resolution have more spatial characteristics as well as spectral characteristics than low-resolution data. In this paper,an object-oriented classification method based on multi-scale segmentation is introduced to classify ADS40 image of Taiyuan city. Firstly,a multi-scale segmentation algorithm is applied to get objects.Then,the features of objects,such as spectral,...
Many existing car recognition algorithms are aiming at front/back and side view car detection. In this paper, an oblique car recognition algorithm is proposed. The algorithm is designed based on the common knowledge of the car, such as shape, contour, structure and so on. The experimental results of many oblique car images show that our method has fine accuracy in oblique car recognition.
This paper presents a novel algorithm based on the gradient direction to separate the multiple attaching and overlapping objects. The idea is based on the fact that the gradient directions of north,east,south,and west neighbourhood pixels are divergent when the gradient direction of the pixel located in the boundary region is used as a reference line.The proposed algorithm is composed of three steps:image...
Local stereo matching could deliver accurate disparity maps by the associated method, like adaptive support-weight, but suffers from the high computational complexity, O(NL), where N is pixel count in spatial domain, and L is search range in disparity domain. This paper proposes a fast algorithm that groups similar pixels into super-pixels for spatial reduction, and predicts their search range by...
Composite Strain Encoding (C-SENC) is a new MRI technique that acquires cardiac functional and viability images simultaneously. It combines the use of Delayed Enhancement (DE) imaging to identify the infracted (dead) tissue inside the heart muscle and the ability to image myocardial deformation from the Strain Encoding (SENC) imaging technique. In this work, a new multi-stage technique is proposed...
In this paper, we manage to use the clustering method realize sonar image segmentation. A particle swarm optimization (PSO) based FCM algorithm (PSO-FCM) is proposed which PSO incorporate with Fuzzy Clustering Method(FCM). The algorithm takes the clustering result of PSO as the initialization of the FCM, and uses fuzzy measures and fuzzy integrals to express the adapt function. At last, the algorithm...
Low-complexity error concealment techniques for missing macroblock (MB) recovery based on the boundary matching principle are extensively studied and evaluated. In this paper, an improved boundary matching algorithm (BMA) using adaptive search is presented to conceal channel errors in inter-frames of video images. The proposed scheme adaptively selects proper candidate regions to conceal the artifact...
Automatic Number Plate Recognition (ANPR) systems allow users to track, identify and monitor moving vehicles by automatically extracting their number plates. This paper presents an improved method to locate car plates in an ANPR system. The proposed method is based on morphological open and close operations where different Structuring Elements (SE) are used to maximally eliminate non-plate region...
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...
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