The Canny algorithm is a well known edge detector that is widely used in the previous processing stages in several algorithms related to computer vision. An alternative, the LIP-Canny algorithm, is based on a robust mathematical model closer to the human vision system, obtaining better results in terms of edge detection. In this work we describe LIP-Canny algorithm under the perspective from it...

In recent years due to improvements of technology within automobile industry, design process of advanced driver assistance systems for collision avoidance and traffic management has been investigated in both academics and industrial levels. Detection of traffic signs is an effective method to reach the mentioned aims. In this paper a new intelligent driver assistance system based on traffic...

We present a Split Canny edge detection algorithm that results in significantly reduced memory requirements, decreased latency and increased throughput with no loss in edge detection performance as compared to the original Canny algorithm. The Canny edge detector is one of the most widely used edge detection algorithms due to its superior performance. Unfortunately, not only is it computational...

This paper presents a novel direction based edge detector which not only can detect the whole edges in an image like other edge detectors, but also more effectively detect edges in any directions that are pre-selected by users. It provides users with an additional function to extract pieces of edges of the directions of particular interest. The algorithm is described in details. Effectiveness o...

2 Examples of feature extraction techniques 2 2.1 Image processing basics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.2 Sobel edge detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.3 Canny edge detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2.4 Hough tra...

the logic of animation making from real video fully depends on various image processing techniques and various kinds of filtering like Gaussian filtering, bilateral filtering, and flow based bilateral filtering, meanshift filtering etc. It also includes edge detecting methods like canny edge detector, dog edge detector, flow based dog edge detector etc. All this technique works differently on t...

In this paper a new approach for blurred image restoration is presented. Our algorithm is based on human vision which zooms back and forth in the image in order to identify global structures or details. Deconvolution parameters are estimated by an edge detection and correspond to the ones of a chosen edge detection model. The segmentation is obtained by merging multiscale information provided b...

a very difficult task and we are not aware of any algoThis paper considers the decomposition of video sequences into so-called video object planes, which is required for the content-based representation of visual objects in MPEG-4. A new segmentation algorithm will be described that identifies physical objects using a morphological motion jiltel: For the object of interest, a twodimensional bin...

Detection of both scene text and graphic text in video images is gaining popularity in the area of information retrieval for efficient indexing and understanding the video. In this paper, we explore a new idea of classifying low contrast and high contrast video images in order to detect accurate boundary of the text lines in video images. In this work, high contrast refers to sharpness while lo...