MỘT MÔ HÌNH NHIỄU VÀ ỨNG DỤNG TRONG VIỆC PHÁT HIỆN CHẤT LIỆU

SUMMARYImages always have noises due to image acquisition processes. Noises are created by self of objects and environments. Each of materials has specific number of noises, which characterizes that material. Noise features of the material are called material noises. This paper deals with a technique for detecting image materials which base on noise analysis of images. By experiments, the technique exposed fairly accurate results for some natural materials at first, especially homogeneous materials about illuminates and extracted invariant features is sparse.Keywords. Noises, materials, invariant feature, reduce noise, wavelet, texture featureSUMMARYA NOISED MODEL AND ITS APPLICATION FOR DETECTING IMAGE MATERIALSImages always have noises due to image acquisition processes. Noises are created by self of objects and environments. Each of materials has specific number of noises, which characterizes that material. Noise features of the material are called material noises. This paper deals with a technique for detecting image materials which base on noise analysis of images. By experiments, the technique exposed fairly accurate results for some natural materials at first, especially homogeneous materials about illuminates and extracted invariant features is sparse.Keywords. Noises, materials, invariant feature, reduce noise, wavelet, texture featur

An examination of techniques for raster-to-vector process and implementation of software package for automatic map data entry-mapscan

The majority of commonly used manipulative techniques in computer-assisted cartography continue to require that the data be in  vector format. This situation has recently precipitated the  the requirement for  fast techniques for converting digital cartographic data from raster to vector format  for processing. This article concerns with examining the states in theses conversion techniques. In part one, algorithms to  perform all phases of  the raster-to-vector process are systematically outlined, and  then compared in the general term. Part two will describe the package for automatic map data entry MapScan, the algorithms implemented in which  are based on the fast techniques for converting  map raster data to vector format. With MapScan users are able to move printed maps or drawing into a mapping system much more quickly and easily compared to using traditional digitizer techniques

Một phương pháp giữ các điểm khớp trong vecto hóa bán tự động không qua làm mảnh

In this paper, we describe a method for  keeping junction point in  semi automatic vectorizing process. This approach allows to flow the vectorizing without thinning method. The paper also shows the first of maps that can be vectorized and have been tested by  MAPSCAN software package that developed in the  Pattern Recognition and  Image Processing  Group. The kind of maps could be as follow: -Scanned maps with boundaries of territorial areas, rivers, routes, specific lines,… - Mechanical drawing maps

Một thuật toán phát hiện vùng và ứng dụng của nó trong quá trình véc tơ hóa tự động.

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Ưng dụng khoảng cách Hausdorff trong đánh giá chuyển đổi các biểu diễn raster và vector

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Kết hợp các phép toán hình thái học và làm mánh để nâng cao chất lượng ảnh đường nét

This paper present a method of using morphology operations such as Dilation. Erosion and thinning technique for improving feature images. In general, the morphology operations are used for increasing or reducing the thickness of lines, smoothing contours or filling holes in images. Unfortunately, the erosion operation creates dot lines. In order to overcome this shortcoming, we use the dilation operation and thinning technique step by step. This approach is useful for reducing the thickness of lines and keeps the connectness of lines. The first points of LOOP are suitable chosen for process speed. The paper also shows kinds of maps that can be vectorized and have been tested by the software package MAPSCAN developed in the Department of Pattern Recognition and Knowledge Engineering such as: - Topography, hydrography and transport maps etc... - Technical, designing and electronic circle drawings, finger images etc..