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Fingerprint images generally either contain only a single fingerprint or a set of non-overlapped fingerprints (e.g., slap fingerprints). However, there are situations where more than one fingerprint overlap on each other. Such situations are frequently encountered when latent fingerprints are lifted from crime scenes or residue fingerprints are left on fingerprint sensors. Overlapped fingerprints...
Recent years, image-based crack detection has attracted more and more attentions for its potential applications on the inspection, diagnosis, and maintenance of various products, e.g. metal workpiece, concrete structure, asphalt road and etc. Generally, the applications are inevitably confronted with noises such as non-uniform illuminated conditions, shadings, stains and nature textures. To ease the...
The method of frame difference is a commonly used way for moving targets detection because it is simple to compute and easy to realize, but it has defects. The moving object captured will present a “double image” phenomenon, so it is difficult to extract goal accurately. This article proposes three image difference algorithm to capture moving target, which, with statistics and curve fitting method,...
Stereo matching has been one of the most active areas in computer vision for decades. Many methods, ranging from similarity measures to local or global matching cost optimization algorithms, have been proposed. In this paper, we propose a novel similarity measure under log-euclidean metric for stereo matching. A generalized structure tensor is applied to describe a point and the similarity is measured...
We propose an efficient multi-access memory architecture for image applications with multiple interested regions. Conflict-free parallel access of randomly aligned rectangular blocks of data in the interested regions is achieved. Only interested regions in the image are transmitted from main memory to a secondary multi-module memory structure proposed in our work, and overlapped data between different...
Mass detection in mammograms is a challenging problem. In this paper, we propose a cost-sensitive cascaded method for automatic mass detection, which employs machine learning techniques to detect region of interests (ROI). In detail, we divide the original mammograms into overlapped squared sub-images. For each sub-image, intensity features based on gray histogram, texture features based on spatial...
Stereo matching has been one of the most active research areas in computer vision for decades. Many methods, ranging from similarity measures to local or global matching cost optimization algorithms, have been proposed. As we known, stereo matching can be formulated under the framework of Markov random field (MRF), and the global optimization in stereo matching can be approximated by inference procedure...
Many researchers have been interested in the processor-memory bottleneck problem. Quite a few image applications are only interested in one or more partial regions in the images. This paper proposes an efficient multi-access memory scheme for these image applications with multiple interested regions. A multi-module memory structure is presented between the main memory and the processing units, which...
Presents an improved segmentation algorithm for flame image of rotary kiln burning zone, based on Gabor wavelet based texture coarseness and Fuzzy C-MEANS (FCM) cluster algorithm. At first, analyses the flame image in detail, divides it into four areas (flame area, material area, illuminated area, background area) by expert experiences and applies threshold segmentation in order to get rid of background...
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