Pii: S0262-8856(99)00015-3
نویسندگان
چکیده
One of the most frequently used methods in image processing is thresholding. This can be a highly efficient means of aiding the interpretation of images. A new technique suitable for segmenting both gray-level and color images is presented in this paper. The proposed approach is a multithresholding technique implemented by a Principal Component Analyzer (PCA) and a Kohonen Self-Organized Feature Map (SOFM) neural network. To speedup the entire multithresholding algorithm and reduce the memory requirements, a sub-sampling technique can be used. Several experimental and comparative results exhibiting the performance of the proposed technique are presented. q 2000 Elsevier Science B.V. All rights reserved.
منابع مشابه
Self-calibration of a moving zoom-lens camera by pre-calibration
We consider the problem of self-calibrating a moving camera which is equipped with a zoom lens. This consists essentially in estimating the 5 intrinsic parameters of the pinhole camera model. However, these parameters are not independent, subject to zooming. Thus, we propose to do a pre-calibration of the camera, with the aim to model the interdependence of the intrinsic parameters. We show tha...
متن کاملStructure and motion estimation from apparent contours under circular motion
In this paper we address the problem of recovering structure and motion from the apparent contours of a smooth surface. Fixed image features under circular motion and their relationships with the intrinsic parameters of the camera are exploited to provide a simple parameterization of the fundamental matrix relating any pair of views in the sequence. Such a parameterization allows a trivial init...
متن کاملPii: S0262-8856(99)00039-6
We introduce a new class of dithering methods called N-candidate methods. The main idea is that the output color is randomly chosen among several candidate colors so that the estimated color average would be preserved. The dithering process is pixelwise without any interaction with the neighboring pixels. The N-candidate methods are thus location invariant, which has two benefits: (1) the algor...
متن کامل