In the image processing systems, the input image is first preprocessed, which may involve restoration, enhancement or just proper representation of the data. The most significant problem in image analysis is the detection of presence of an object within a given scene or an image. Such a problem occurs in trademarks classification and other areas like remote sensing for monitoring growth pattern...

We propose Fast Eigen Matching, a method for accelerating the matching and learning processes of the eigenspace method for rotation invariant template matching (RITM). Correlation-based template matching is one of the basic techniques used in computer vision. Among them, rotation invariant template matching (RITM), which locates a known template in a query irrespective of the template’s transla...

Based on feature matching of car tail text information, a novel approach for vehicle identification is proposed in this paper. Our method creatively implements Scale-Invariant Feature Transform (SIFT) to extract distinctive invariant features from car tail text sub-images, which is a new application of SIFT. In our approach, firstly, the coordinate and the content of a vehicle’s license plate a...

In most computer vision and image analysis problems, it is necessary to define a similarity measure between two or more different objects or images. Template matching is a classic and fundamental method used to score similarities between objects using certain mathematical algorithms. In this paper, we reviewed the basic concept of matching, as well as advances in template matching and applicati...

We consider brightness/contrast-invariant and rotation-discriminating template matching that searches an image to analyze A for a query image Q. We propose to use the complex coefficients of the discrete Fourier transform of the radial projections to compute new rotation-invariant local features. These coefficients can be efficiently obtained via FFT. We classify templates in “stable” and “unst...

computer aided pulmonary nodule detection has been among major research topics lately to help for early treatment of lung cancer which is the most lethal kind of cancer worldwide.some evidence suggests that periodic screening tests with the ct of patients will help in reducing the mortality rate caused by the lung cancer. acomplete and accurate computer aided diagnosis (cad) system for detectio...

Template matching is a technique widely used for finding patterns in digital images. An efficient template matching algorithm should be able to detect template instances that have undergone geometric transformations. Similarly, a color template matching should be able to deal with color constancy problem. Recently we have proposed a new grayscale template matching algorithm named Ciratefi, inva...

Template matching is one of the most basic techniques in computer vision, where the algorithm should search for a template image T in an image to analyze I. This paper considers the rotation, scale, brightness and contrast invariant grayscale template matching problem. The proposed algorithm uses a sufficient condition for distinguishing between candidate matching positions and other positions ...