Abstract: Provided are a device and a method for determining an edge location based on the adaptive weighting of gradients (AWG). The method for determining an edge location according to an embodiment of the present invention includes the steps of determining, based on the edge width of an edge profile in an image, a power factor to be applied to a gradient of the edge profile in order to determine an edge location, calculating a difference value between values of adjacent pixels in the edge profile to generate the gradient, and applying the power factor determined based on the edge width to the gradient to determine the edge location.

Abstract: Provided are a device and a method for determining an edge location based on the adaptive weighting of gradients (AWG). The method for determining an edge location according to an embodiment of the present invention includes the steps of determining, based on the edge width of an edge profile in an image, a power factor to be applied to a gradient of the edge profile in order to determine an edge location, calculating a difference value between values of adjacent pixels in the edge profile to generate the gradient, and applying the power factor determined based on the edge width to the gradient to determine the edge location.

Abstract: The present concept relates to an apparatus for dividing of static scene based on statistics of images that enables more accurate image split processing by correcting movement and brightness components based on statistical information of multiple image frames for a static scene to generate an average image and by splitting the edge area and the non-edge area from the average image, and a method thereof.

Abstract: The present concept relates to an apparatus for dividing of static scene based on statistics of images that enables more accurate image split processing by correcting movement and brightness components based on statistical information of multiple image frames for a static scene to generate an average image and by splitting the edge area and the non-edge area from the average image, and a method thereof.

Abstract: A method of determining change in a state of an object using images of the object, the method including providing a first image and a second image of the object, the first image and the second image being spaced apart in time, performing a plurality of pixel-based change detection algorithms to obtain a plurality of output difference products/images containing change information and pseudo change information, combining the plurality of output difference products to form a hybrid output difference product, and thresholding the output difference product to detect changes in the object.

Abstract: A method of determining change in a state of an object using images of the object, the method including providing a first image and a second image of the object, the first image and the second image being spaced apart in time, performing a plurality of pixel-based change detection algorithms to obtain a plurality of output difference products/images containing change information and pseudo change information, combining the plurality of output difference products to form a hybrid output difference product, and thresholding the output difference product to detect changes in the object.

Abstract: A method of determining change in a state of an object using images of the object, the method including providing a first image and a second image of the object, the first image and the second image being spaced apart in time, performing a plurality of pixel-based change detection algorithms to obtain a plurality of output difference products/images containing change information and pseudo change information, combining the plurality of output difference products to form a hybrid output difference product and thresholding the output difference product to detect changes in the object.

Abstract: A method of determining change in a state of an object using images of the object, the method including providing a first image and a second image of the object, the first image and the second image being spaced apart in time, performing a plurality of pixel-based change detection algorithms to obtain a plurality of output difference products/images containing change information and pseudo change information, combining the plurality of output difference products to form a hybrid output difference product and thresholding the output difference product to detect changes in the object.

Abstract: A method of enhancing a resolution of an image by fusing images includes applying a principal component analysis to a multispectral image to obtain a plurality of principal components, and replacing a first component in the plurality of principal components by a panchromatic image. The method further includes resampling remaining principal components to a resolution of the panchromatic image, and applying an inverse principal analysis to the panchromatic image and the remaining principal components to obtain a fused image of the panchromatic image and the multispectral image.

Abstract: A method of enhancing a resolution of an image by fusing images includes applying a principal component analysis to a multispectral image to obtain a plurality of principal components, and replacing a first component in the plurality of principal components by a panchromatic image. The method further includes resampling remaining principal components to a resolution of the panchromatic image, and applying an inverse principal analysis to the panchromatic image and the remaining principal components to obtain a fused image of the panchromatic image and the multispectral image.

Abstract: A system and method for feature evaluation that include an evaluation system configured to consider extracted features and reference features and an evaluation system configured to quantify accuracy, quality, and correspondence between the reference features and the extracted features.

Abstract: A method of determining change in a state of an object using images of the object, the method including providing a first image and a second image of the object, the first image and the second image being spaced apart in time, performing a plurality of pixel-based change detection algorithms to obtain a plurality of output difference products/images containing change information and pseudo change information, combining the plurality of output difference products to form a hybrid output difference product and thresholding the output difference product to detect changes in the object.

Abstract: A system and method for feature extraction and evaluation include an extraction system configured to produce extracted features from input images, and an evaluation system configured to find a correspondence between reference features and the extracted features.

Abstract: A method of enhancing a resolution of an image by fusing images includes applying a principal component analysis to a multispectral image to obtain a plurality of principal components, and replacing a first component in the plurality of principal components by a panchromatic image. The method further includes resampling remaining principal components to a resolution of the panchromatic image, and applying an inverse principal analysis to the panchromatic image and the remaining principal components to obtain a fused image of the panchromatic image and the multispectral image.