摘要:
An image processing method includes the steps of obtaining information on periodicity in a direction of rotation of at least one of a template image and an image to be searched, carrying out first matching in respect to the direction of rotation between the template image and the image to be searched and determining a plurality of candidates for an amount of rotation for correcting relative displacement in direction of rotation between the template image and the image to be searched based on a result of first matching and the information on periodicity, generating a plurality of sets of images resulting from correction of relative displacement in direction of rotation between the template image and the image to be searched with each of the candidates for the amount of rotation, and carrying out second matching in respect to a position in each of the sets of images and outputting a result relatively high in likelihood, among results of second matching.
摘要:
A image processing apparatus extracts a plurality of feature points, comprising a local feature amount, from an inputted image, and a region information that relates to the feature point, identifies at least one of the plurality of feature points, associates the feature point thus identified with a feature point with a high relational degree between the feature point thus identified and a region that is denoted by the region information of the feature point thus identified, and registers the feature point thus identified and associated as an index of the inputted image.
摘要:
In a feature matching method for recognizing an object in two-dimensional or three-dimensional image data, features in each of which a predetermined attribute in the two-dimensional or three-dimensional image data takes a local maximum and/or minimum are detected (10), and features existing along edges and line contours from the detected features are excluded (12). Thereafter, the remaining features are allocated to a plane, some features are selected from the allocated features by using local information, and feature matching for the selected features being set as objects is performed (14).
摘要:
Techniques for assessing a tissue condition and diagnosing, assessing the prognosis of, or the risk for pathological conditions are disclosed. The technique may include an image acquiring module adapted to receive an image comprising at least a portion of animal or human tissue, a delineation module adapted to indicate an analysis zone in said acquired image, a feature extraction module adapted to extract quantitative information from said analysis zone and a machine learning module adapted to receive said extracted information and apply at least one detection algorithm to assess a condition of said tissue. The feature extractor module may have at least a rotation compensation module to compensate for the rotation of the analysis zone.
摘要:
The invention relates to a method for the recognition of objects in at least one digital image that comprises: a) simulating from said digital image a plurality of digital rotations and at least two digital tilts different from 1 in order to develop a simulated image for each rotation-tilt pair; and b) applying an algorithm generating values that are invariant in translation, rotation and zoom onto the simulated images in order to determine so-called SIF (scale invariant features) local characteristics used for recognising objects. The SIFT method can be used in step b.
摘要:
A system, method, and computer program for determining a descriptor, comprising calculating a maximum distance for a plurality of points in a sector between each of said plurality of points and an origin; calculating a minimal distance from one of said plurality of points and a target line, wherein said maximum distance is an initial value; computing a plurality of Fourier coefficients from said minimal distances; and defining an invariant descriptor from said Fourier coefficients, and appropriate means and computer-readable instructions.
摘要:
A first visual image or other pattern (A) is represented by a first ordered set of elements (xi) each having a value and a second pattern (B) is a represented by a second ordered set of element (ui) each having a value. Iteratively, a comparison is made by: (i) selecting a plurality of elements from the first ordered set ; (ii) for each selected element of the first ordered set, selecting an element from the second ordered set, such that the selected elements of the second ordered set have, within the second ordered set, a set of positional relationships relative to each other that is the same as, or a transformation of, the set of positional relationships that the selected plurality of elements of the first ordered set have relative to each other; (iii) selecting a random shift value ( ); and (iv) determining whether the selected elements meet the match criterion that the value of each of the selected elements of the first ordered set differs from the value of the correspondingly positioned selected element of the second ordered set by an amount that is equal to, or within a set margin of, and in the same sense as, said shift value. In the event of a match, a similarity score (SAB) is updated. Alternatively, or in addition, the shift amount in the event of a match is recorded and, at the conclusion of the iteration, a single representative shift value is estimated from said recorded shift value.
摘要:
Techniques for assessing a tissue condition and diagnosing, assessing the prognosis of, or the risk for pathological conditions are disclosed. The technique may include an image acquiring module adapted to receive an image comprising at least a portion of animal or human tissue, a delineation module adapted to indicate an analysis zone in said acquired image, a feature extraction module adapted to extract quantitative information from said analysis zone and a machine learning module adapted to receive said extracted information and apply at least one detection algorithm to assess a condition of said tissue. The feature extractor module may have at least a rotation compensation module to compensate for the rotation of the analysis zone.
摘要:
Discovering repetitive structures in 3D models is a challenging task. A method for detecting repetitive structures in 3D models comprises sampling the 3D model using a current sampling step size, detecting repetitive structures and remaining potions of the model, determining a representative for each of the one or more repetitive structures, and as long as the detecting step yields one or more repetitive structures, reducing the current sampling step size and repeating the steps of sampling and detecting for each detected representative of a detected repetitive structure and for the remaining portions of the model, wherein the reduced sampling step size is used. The described method and device can e.g. be used for 3D model compression, 3D model repairing, or geometry synthesis.