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An image mosaic construction method with focuses in feature matching and image fusion is proposed. The merit of this method is that it can effectively reduce the rate of feature mismatches. Corners in two overlapping images are taken as features which are detected and matched in order to derive a transformation matrix to align the images to be combined. In order to guarantee a reduced rate of mismatching,...
This paper describes a device, based on stereovision, which is designed for forest inventories purposes. It captures pairs of omni-directional stereoscopic images through a fish-eye lens, from which different tri-dimensional measures can be obtained by applying a stereovision process, including image acquisition, feature and attribute extraction, feature matching and depth determination. This paper...
In this paper, we describe the design of a mosaicing technique for images from a microscope system with automatically controlled object stage and image capture unit. Due to the limited field of view in microscope imagery, larger objects are split up into many adjacent, but slightly overlapping frames. In many fields, such as medicine or biology, it is vastly beneficial that these image patches are...
A study of color image segmentation with its dependence on color space representation is presented. Segmentation has been one of the basic procedures in image processing. Because of the three-fold increase in color signal dimension as compared to black-and-white images, an advantage resulting from the choice of color space representation could be taken to enhance the performances of processes such...
We present a wide-baseline image matching approach based on line segments. Line segments are clustered into local groups according to spatial proximity. Each group is treated as a feature called a Line Signature. Similar to local features, line signatures are robust to occlusion, image clutter, and viewpoint changes. The descriptor and similarity measure of line signatures are presented. Under our...
We propose a grouping algorithm for tracking and recognition of complex objects in video images. The algorithm is based on region-growing image segmentation for dividing each image into its constituent elements or segments and feature matching using the characteristic features of these elements. All segments in video images, which can be viewed as simple objects, can be detected and tracked with this...
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