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Although image edge detection algorithms have been widely applied in image processing, the existing algorithms still face two important problems. On one hand, to restrain the interference of noise, smoothing filters are generally exploited in the existing algorithms, resulting in loss of significant edges. On the other hand, since the existing algorithms are sensitive to noise, many noisy edges are...
A new algorithm of image edge detecting was proposed, which was based on otsu method and the set's approximation of rough set theory. Firstly, the global threshold of image segmenting was selected through otsu technique for this algorithm. Then there was a 3*3 pixels window, according to the attributes of the relations between threshold and window pixels' grey levels to build decision table. It could...
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...
In this paper, we propose a new unsupervised text detection approach which is based on Histogram of Oriented Gradient and Graph Spectrum. By investigating the properties of text edges, the proposed approach first extracts text edges from an image and localize candidate character blocks using Histogram of Oriented Gradients, then Graph Spectrum is utilized to capture global relationship among candidate...
From the perspective of semantic network model, this paper does research on the urban road extraction from high-resolution remote sensing images. First, we analyze spatial features and contextual information of road in high resolution remote sensing images. By using the method of regional segmentation edge detection, area filter and Hough transform methods respectively, we obtain the candidate nodes...
In the digital multimedia era, it is becoming increasingly important to ensure the integrity and authenticity of the enormous amount of the video data. To detect the effect of frame-deletion, which is one of the common and simple forgery methods in video streams, a new approach based on motion-compensated edge artifact is proposed in this paper. It introduces the factor of motion-compensated edge...
In this paper, we propose a new edge-based text verification approach for video. Based on the investigation of the relation between candidate blocks and their neighbor areas, the proposed approach first detects background edges in candidate blocks, then erases them by an edge tracking technique, and finally the candidate blocks containing too few remaining edges are eliminated as false alarms. Three...
Content-Based Image Retrieval (CBIR) system is emerging as an important research area, users can search and retrieve images based on their properties such as shape, color and texture from the image database. Usually texture-based image retrieval just consider an original image of coarseness, contrast and roughness, actually there is much texture information in the edge image. This paper proposed a...
A method is illustrated in this paper for edge detection of moving objects in video sequences, the method synthetically combines LS-SVM (Least Squares-Support Vector Machines) algorithm with motion recovery theory for edge detection. The experimental results show that this method can provide accurate edge detection result effectively and overcomes fuzzy parts of image caused by motion. Due to low...
In content based image retrieval system, texture based natural image retrieval can not extract texture feature efficiently and accurately, because the nature image is very complex and most of method extract feature use the whole nature image. In this paper, a new method is proposed for leopard texture image retrieval. Usually, the habitat of leopard is grass or tree, there is large difference between...
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