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Image analysis is one of the common application fields in medical especially in cytology. Visual interpretation is the core for most medical diagnostic procedure. This process is tedious especially in the existence of overlapping cells therefore it is crucial to split the overlapping cells into single ones. This study proposes an overlapping cells separation method for separating the overlapping cells...
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...
To reduce accidents and increasing safety, thereby saving lives are one of the context of driver assistance system, among the complex and challenging tasks of future road vehicle is road lane detection. Lane detection is difficult problem because of varying road condition that one can encounter during driving. In this paper a hybrid approach on captured images using ant colony optimization (ACO) on...
For a driver fatigue warning system, one of the most important problems to solve is eye detection and recognition. The blink information was used to preliminary eye location. Modified Susan operator of eye inner corner extraction to accurate eye location. According to the characteristics of the external environment are less prone to interference from eye inner corner, small template of the eye inner...
This paper deals with the recognition of handwritten Malayalam characters. Most of the pattern recognition systems will go through the steps like preprocessing, feature extraction and classification. Here, we have presented edge detection in the preprocessing stage. It is important that the edge detector should give the character edges without fragmentation and displacement of edge pixels. Canny edge...
Baseline detection is an essential preprocessing step for many OCR systems, it has a direct effect on the efficiency and reliability of characters segmentation and features extraction stages, which contribute strongly to yielding higher recognition accuracy. For Arabic handwritten, the conventional methods which extract baseline as straight line are ill-suited because some Arabic words may be contracted...
In this paper a new digital image in painting algorithm based on Directional Median filters is proposed. The proposed algorithm is iterative. In the first iteration, median value of known pixels' in each direction is calculated, and then, a damaged pixel is replaced by the median of the obtained values. In latter iterations, median of all pixels' values in each direction is calculated then median...
The local color cue based candidate boundary detection incorporating stationary Haar wavelet decomposition at various levels and thresholded proximity influence measures are used for detecting edges in color images in the proposed method. The non-homogeneous inter-tuples and non-uniform intra-tuple contributions of RGB tuples for conception of perceptual-edges are exploited in the edge detection method...
In 1973, Haralick, Shanmugam, and Dinstein published a paper in the IEEE Transactions on Systems, Man, and Cybernetics which proposed using Gray-Level Co-occurrence Matrices (GLCM) as a basis to define 2-D texture. Over 14 different texture measures were defined using GLCM. In images with n × n grey levels, the size of the GLCM would be n × n which, for large n such as n=256, put a large computational...
Recently, road detection technique is a very important part of vision navigation, which is the key technique of intelligent vehicle guidance. The detection result is seriously affected by the quality of noise and image. Road edge detection is help to analyze the direction of the road extension and the specific location of obstacles, size and speed of obstacles in the road. In this paper, several typical...
The block motion estimation technique is adopted by various video coding standards to reduce the temporal redundancy in video sequences. Video frames are often dropped during compression at very low bit rates. At the decoder, a missing frame interpolation method synthesizes the missed frames. We proposed two step motion estimation methods for interpolation, a framework for detecting and utilizing...
Due to the advancement of digital media, a large number of electronic books are digitized from old paper books through digital cameras or scanners. The scanned image often contains the distractions such as noises outside the page boundary, skewed pages, and irregular distributions of image illumination that may degrade the quality of scanned images. As for this paper, we propose an alternative algorithm...
In this paper, a new noise removal method for color images is described. In the proposed method, first, a tentative output image in which noise is almost perfectly removed is obtained using the iterative robust switching vector median-based vector ε-filter. Then, the residual components between the input and tentative output images are calculated, and image components constitute edges, corner, and...
Multiscale Geometry Analysis consistent with the best features of the image representation, is effective for high dimensional function approximation and can use the image of the geometric regularity. In this article, we will mainly discuss the transformation of the Beam let based on Multiscale Geometry Analysis, formulate its theoretical basis, and by Matlab simulation results show the advantages...
In this paper, we propose a method used to improve the performance of the digital watermarking based on the modification in the blue channel of the image pixels. The main objective is to reduce the error prediction caused by the high different values of neighbor pixels. In the proposed method, the edge detection technique takes place in order to find out the high different values of neighbor pixels,...
This paper mainly introduces the edge extraction algorithm of thenar palm print image based on wavelet modulus maxima multi-scale. First, some classical edge detection operators and the Hough transform are introduced. And then the paper focuses on the wavelet modulus maxima multi-scale edge detection algorithm. In this algorithm, a multi-scale Gaussian edge detector is constructed. According to cross-scale...
The vehicle shadow's detection and elimination work basically for extracting and tracking the vehicle characteristics, and it also plays a very important role in highway video surveillance and incident detection, affecting the post-processing of video image directly, such as vehicle tracking and speed measurement. On study of Kimmel variational and multi-scale Retinex algorithm to eliminate the vehicle...
The traditional Canny edge detector is designed to detect the edges of gray image, the color image must be converted to gray image, this method only uses the luminance information of color image, and don't take into account the chroma information, therefore, it misses some edges. In this paper, an improved Canny edge detector against impulsive noise based on CIELAB space is proposed, the color image...
Based on the method of image edge detection on gray weighted absolute correlation degree of Gray System Theory, a novel method for image edge detection is presented based on grey weighted absolute correlation degree and the classical Prewitt edge detection operator. The method is to take the Prewitt operator as reference sequence, and calculate the grey weighted absolute correlation degree of the...
Driver support systems using images are paid attention and various researches on recognizing and understanding the road environment have been done. If it is possible to detect and recognize traffic lights, it will give useful information to a driver to understand the road environment. In this paper, a method of detecting a traffic light in a scene image is proposed. Considering the structure of a...
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