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For the morphology edge detector has a higher algorithm complexity and the contradiction between noise restraining and algorithm accuracy, a new edge detection algorithm based on morphology is proposed in this paper. First, the gray value in the structural elements will be sorted. Second, using the maximum value minus the minimum and the second largest value minus the second smallest value, and so...
Image edge detection plays an important role in the image processing, On the basis of studying mathematical morphology and morphological edge detection operator in the field of application of edge detection in depth and integrating morphological expansion and corrosion, an amended edge detection operator was proposed and used to detect the image edge. Then change the edge elements structure and scale...
This paper proposes a new method for extracting loess shoulder-lines from grid DEMs. The morphological characteristics of loess shoulder-lines are investigated firstly. Loess shoulder-lines is the border line of loess inner gully area and inter gully area and its upper side is the relatively flat area(with slope less than 20 degrees) called Inner gully, the lower side is the inter gully with slope...
Traditional evaluation method of camouflage texture effect is subjective evaluation. It's very tedious and inconvenient to direct the texture designing. In this paper, a systemic and rational method for direction and evaluation of camouflage texture designing is proposed. A new camouflage texture evaluation method based on WSSIM (Weight structural similarity) is given to access the effects of camouflage...
This paper studied the basic principle and realization method of Curvelet transform on the basis of analysis Ridgelet transform. Wavelet transform is more applicable in processing point singular signal, however, it is obviously insufficient in the analysis of the image edge feature of the curve of two-dimensional image or a straight, while the Curvelet transform has more directional and has better...
An effective algorithm of image edge detection based on neighborhood limited empirical mode decomposition and lifting wavelet analysis is presented. The image signal is decomposed to a number of intrinsic mode function(IMF) function via neighborhood limited empirical mode decomposition(EMD), then each IMF function is processed by lifting wavelet transform. The application of this method to image shows...
Edges in images are considered to be basic low-level features in image processing and pattern recognition. In this paper, we propose a new method for edge detection using the exponential function. The pixel values within a mask are normalized so that they can be regarded as probabilities. Then, the sum of the exponential or the reciprocal of exponential functions of the probabilities is calculated...
The target aspect estimation is important to Synthetic Aperture Radar Automatic Target Recognition (SAR ATR). Due to the nature of SAR imaging, the front edges are comparatively distinct and stable features in target images, and are suitable for target aspect estimation. In this paper, a new method is proposed for target aspect estimation. A simple adaptive threshold processing is used to extract...
As the differences of the backgrounds and the distribution of the key areas in the images, if carring out similarity fully by comparing the corresponding regional areas of the images in the retrieval,it is easily to interfere the search results. To this problem, this paper presents a new idea that when doing the similarity compare of the two images based on ensuring information of the image edge,...
A new method for TV commercial detection based on multi-feature fusion is proposed. Firstly, the video and audio features of TV commercials are analyzed and extracted. Then, TV commercial detection is performed by using these video and audio features as well as a statistical analysis method. Finally, experiments are implemented and results are analyzed. Experimental results show that TV commercials...
For image and video compression standards, one image is divided into a serial of non-overlapped blocks. Detecting edge existence and analyzing the edge direction in a block level is useful in the applications, such as perceptually improved coding, MB encoding mode decision, blocking artifacts reduction, content-based retrieval, senses changing detection, etc. This paper proposes a novel Fast Block...
Feature detection is an important point in picture process. The results of its detection will affect pattern recognition and classification directly. Based on Radon transform and wavelet transform detection, linear edges detection method based on Ridgelet transform are put forward in this thesis. With this method, All straight lines are detected and their locations are relatively precise.
This paper presents a new interpolation method for edge preserving when a low-resolution image is converted into a high-resolution image. The algorithm is based on both geometric closeness and photometric similarity, unlike the conventional interpolation algorithm which only uses geometric closeness. The proposed interpolation algorithm can preserve high frequencies in edge regions and retain similar...
Image registration is a challenging task when illumination changes drastically. In this paper, we propose a novel algorithm, APCurve, to address this problem. APCurve matches all principle curves extracted from the sensed image and reference image based on voting matrix. All principal curves are extracted because they are robust against illumination change. Voting matrix is a simple method to match...
Based on the attributes of line quality in digital prints proposed by ISO/IEC 13660 standard, several digital prints' line qualities were evaluated and analyzed in this study. First of all, a test diagram, which consists of lines oriented in horizontal and vertical directions respectively and with different width was designed and output by some digital printers. Then the attributes reflecting the...
As people's awareness of safety is enhancing, the intelligent vehicle navigation system is paid more attention. The lane recognition is the main approach used by the navigation technology. The algorithm of extracting the lane region is improved in this paper against the past algorithms with poor real-time. Firstly, this algorithm extracts the road region based on the clear dividing line between the...
With the increasing of mining depth, the surface and underground geological conditions have undergone great changes. The updating investigations mostly depend on the conventional means which has constrained the mine production on in-depth understanding of the geological terrain. So it is urgent to carry out the research work. The use of remote sensing techniques and auxiliary data to carry out the...
A method operating at an outdoor swimming pool is presented in this paper. In a swimming pool, one key problem we faced is that the SNR (signal to noise ratio) will be lower than general surroundings such as bubbles, shadow, water waves, and lower contrast. In order to eliminate noise and preserve the edge and texture detail in the image that we obtained, we select the wavelet denoising algorithm...
An improved multispectral high resolution object-based image segmentation method based on graph is presented in this paper. We use Minimum Span Tree optimal theory to realize object based high resolution image segmentation. First, we improved the calculation of edge-weight by introducing the band-weight and Normalized Difference Vegetation Index (NDVI). Second, we proposed an edge based auto threshold...
An improved geodesic active contour model with points distance and gray intensity is proposed in this paper for the segmentation of images. Unlike the traditional geodesic active contour model, which has some disadvantages such as the selections of the contrast constant in the edge stop function, a new adaptive selection method has been developed to select the contrast constant and shrinkage velocity...
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