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Object skeletons are useful for object representation and object detection. They are complementary to the object contour, and provide extra information, such as how object scale (thickness) varies among object parts. But object skeleton extraction from natural images is very challenging, because it requires the extractor to be able to capture both local and non-local image context in order to determine...
Motivated by product detection in supermarkets, this paper studies the problem of object proposal generation in supermarket images and other natural images. We argue that estimation of object scales in images is helpful for generating object proposals, especially for supermarket images where object scales are usually within a small range. Therefore, we propose to estimate object scales of images before...
In this paper, we proposed an auto-generated two dimensional to three dimensional conversion system. We divided this architecture into two parts: In part one, we use Sobel edge detection [1] to segement the object for image of digital archives for classical antiques and document. Then, we used the Zhang and Suen thinning [2] to reduce the width of object's boundary to single pixel. After thinning,...
In this paper, we propose an approach to class-specific object contour detection. Unlike traditional edge/boundary detection algorithms which are designed to detect characteristic changes in brightness, color, and texture, class-specific object contour detection involves the concept of “object”. It aims to capture the main structure (outline) of the object of interest and suppress the strong edge/boundary...
In this paper a method is proposed to segment the board in Snooker games automatically. The algorithm involves the following steps: first, separable second derivative of Guassian steerable filters, which are linear combination of basis filters and can implement filtering with variant direction, are used to extract the edges in both horizontal and vertical directions. The input image f(x,y) is convolved...
The curvelet transform is a new multi-scale analysis method which can be used to represent perfectly the curve edges of natural image. Robust image watermark algorithm should embed the watermark into the edges of image according to human visual system. In this paper, an adaptive image watermark algorithm in curvelet domain was proposed. Firstly, the original image was decomposed into curvelet coefficients...
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