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A self-adaptive canny operator was developed to detect edges of growing citrus images. RGB color images were obtained and linear transformed into R-B chromatic aberration space at first. In R-B space, width of Gaussian filter fast calculated using integral images and the high and low threshold values obtained by OTSU algorithm were extracted to improve automatic edge detection. It is shown that the...
In this paper, we proposed a statistical noise estimation kernel based on Rayleigh distribution function. The kernel, as a filter, is implemented in breast lesion boundary detection for ultrasound images. The detection sequence includes: histogram equalization, nonlinear diffusion, convolution of the breast image with the developed kernel, median filtration, segmentation, labelling and morphological...
Contrary to uniform local averaging, we propose non-linear approach for precise sparse depth map extraction. Noisy focus measurements are replaced with estimated values. This helps to compute accurate 3D shape while preserving edges of objects.
In this paper, we propose a content-aware noise reduction (NR) method for the Digital TV, which preserves image textures and edges. In the proposed method, noise is first reduced by a temporal recursive NR filter and then further suppressed by a spatial NR filter. To preserve the image texture, the saliency map which accurately represents edges in a noisy image is employed in the spatial filter. Experimental...
According to the characteristic of X-ray images of weld, defect extraction techniques were studied. Firstly, on the basis of wavelet analysis, a new wavelet adaptive threshold de-noising method based on genetic algorithm optimization is proposed. Secondly, an algorithm of multi-scale morphological to local contrast enhancement is designed. Finally, background is simulated, and the defect regions were...
The measure of detecting the surface edge information of cold-roll steel sheets has been investigated rely on the digital image processing toolbox of the mathematic software MATLAB, and the edge detecting experiment of surface grayscale image has been conducted on the computer. The method of detecting defects such as black flecks and scratching has been realized in the research, the different effect...
In the process of edge detection based on mathematical morphology, different shapes and different scales structure elements have different roles in filtering noise and keeping edge details. The paper proposes an adaptive edge detection algorithm based on multi-shape and multi-scale structure elements, uses different directions and sizes structure elements to extract image edge, determines weight coefficients...
This paper addresses the problem of detecting the edge pixels in the grey-level image which based on the maximum fuzzy 2-partition entropy principle. To divide the edge pixels from the image, we use the direction information measures of pixels as the edge characteristic index, and then an entropy function is used to justify if the information of an image is mostly retained after thresholding. In addition,...
The provision of blind quality assessment is an important requirement for modern multimedia and communication systems. Fragile watermarking techniques have been proposed earlier for this purpose. This paper proposes a novel approach which makes use of both fragile and robust watermarking techniques. The embedded fragile watermark is used to assess the degradation undergone by the transmitted images...
In this paper we present a morphologic edge detector using multidirectional structuring element approach for detecting edges of complex images under noisy condition. The experimental results show that the proposed edge detector has the desirable properties that a good edge detector should have. Comparative study reveals its detection performance exceeds conventional edge detectors and other morphologic...
Image segmentation is a technique used to segment region of interest (ROI) in the image for further image processing applications. Contour extraction is one of the most important image segmentation methods. In this paper, a contour extraction method is proposed, which consist of two stages. The first stage is automatic initial edge point selection (IEPS), and the second stage is segmental contour...
Edge detection is a critical element in image processing, since edges contain a major function of image information. The function of edge detection is to identify the boundaries of homogeneous regions in an image based on properties such as intensity and texture. Many edge detection algorithms have been developed based on computation of the intensity gradient vector, which, in general, is sensitive...
This paper is concerned with the detection of road paths and drivable surfaces in different images under non-uniform light condition using simple coordinate logic filters. Road images taken in the campus have been used to test the algorithm. First the image samples are segregated into different segments depending on the intensity. Subsequently coordinate logic detectors are applied to extract the...
In this paper we present a novel noise reduction method using Coordinate Logic (CL) filters applied to printed text and handwriting images. CL Filters and their associated Coordinate Logic Operations (CLOs) are widely used in common practical image process applications like noise removing, magnification, opening, closing, skeletonization, coding, edge detection, feature extraction, and fractal modeling...
This paper presents an adaptive edge enhancement method based on histogram matching for ultrasound images. Because of the speckle noises of ultrasound images, traditional edge enhancement methods do not work well for ultrasound images. The proposed method is to seek the regions whose edges needs to be enhanced and ruling out the error edges caused either by speckle noises or the reverberation artifacts...
Road detection is the most fundamental part of autonomous vehicles. Noises caused by shadows and vehicles on the road have a great negative impact on the road detection. Our method improves the performance under the noisy environment by taking advantage of color information to determine the road curvature. A novel geometrical method is proposed in this paper to select the most matched curvature. A...
Image Matching is a fundamental tasks in image processing used to match two or more images, for example, at different time, from different viewpoints, Registration is the foundation of many image processing and applications such as object recognition, change detection, 3-D modeling. The paper researches Image Matching based on characteristic point, such as Harris Operator, and introduces corner point...
An aim to solve the problem of missing details of image and discontinuous edge. A new method of image edge detection based on the least mean square filter and mathematical morphology is presented. Experiment results show that using this method to detect edge we can effectively get rid of noise and correctly detect the continuous edge of image.
License Plate Recognition (LPR) system is an important part of Intelligent Traffic System (ITS), which is very valuable in practical applications such as public safety, traffic management and military department. The license plate image edge detection is a hotspot to the process of license plate location and recognition. The edge detection affects the follow-up quality of the location and identification...
A moving object segmentation algorithm based on edge detection is put forward in this paper. The algorithm reconstructs background from image sequence. It uses edge detection to eliminate the disturbance of shadow, and uses Gaussian filter to eliminate noise. The background subtraction is used to extract moving object. The experimental results show that this algorithm effectually avoids the influence...
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