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In the SAR image, the road recognition is conducive to the SAR image interpretation using in traffic monitoring, GIS information, and Geographical mapping, but the road is difficult to extract for blurring by speckles. Based on mathematical morphology, a new road extraction method is proposed in this paper. After the pre-processing to reduce the influence of the speckles, the binary image information...
The paper presents a methodology to evaluate the periodicity of a temporal data series, neither relying on assumption about the series form nor requiring expert knowledge to set parameters. It exploits tools from mathematical morphology to compute a periodicity degree and a candidate period, as well as the fuzzy set theory to generate a natural language sentence, improving the result interpretability...
A new airport runway extraction method is put forward. Firstly, it is utilized the fuzzy enhancement arithmetic to highlight the runway in the image; And then using canny operator for edge detection; Use mathematical morphology opening which can make some of the curved edge in the image broken down into smaller straight edge; Finally, we can obtain the runway by marking the location of the edge and...
Spatial information plays a fundamental role in building high-level content models for supporting analysts' interpretations and automating geospatial intelligence. We describe a framework for modeling directional spatial relationships among objects and using this information for contextual classification and retrieval. The proposed model first identifies image areas that have a high degree of satisfaction...
License plate recognition plays an important role in intelligent transport system; however, plate region extraction is the key step before the final recognition. In this paper, an effective license plate extraction algorithm based on vertical edge detection and mathematical morphology is proposed, which can exactly extract the plate from complex background. The proposed algorithm mainly consists of...
The key issue of edge detection is to filter more noises while obtaining more edge details. This paper proposed a novel edge detection method based on the fusion of wavelet transform and mathematical morphology. Firstly, decompose image into high and low frequency parts via wavelet transform. Secondly, process the high and low frequency parts respectively: apply multi-scale wavelet transform to detect...
Nowadays, Google Earth is very popular in the world. Lots of people are interested in this software. The purpose of this paper is to explore the method of road extraction in high resolution urban images from Google Earth. There are several basic characteristics of roads, if more characteristics are used for the road extraction, good results can be achieved. In this paper, watershed dual-thresholds...
The automatic optical inspection algorithm based on pattern recognition and mathematical morphology is promoted, which can be used to detect some kinds of defects in PCBs. In this paper, the conception of linkage information table was presented which is regarded as correlation features of template PCBs. This paper also includes pre-processing and feature extractor. Compared with features between detected...
In this paper mathematical morphology operators from binary image are extended to a wider class of operators, which are based on fuzzy set theory and fuzzy logic. The proposed operators are compatible with present operators for grey-scale images. A novel notion of connectivity for grey-scale images is introduced, defined by means of fuzzy logic operators assigned at fuzzy sets. A series of useful...
Combined with human visual characteristics and morphological watershed algorithm, a novel image processing method was proposed for automatic region of interest (ROI) extraction. The color image would be converted into gradient map, then smooth the map using the method of morphological opening and closing operators, last thresholding it. For discriminating the very small regions which are segmented...
A robotic system for harvesting tomatoes in greenhouses is designed. Effective recognition of ripen tomatoes from complex background is the key technology of the harvesting robotic system. In this work, the color feature of ripen tomatoes is employed. The ripen tomato is segmented by K-means clustering using the L*a*b* color space. To extract a single integrity ripen tomato, mathematical morphology...
In applications, morphological operations such as dilation and erosion are executed consecutively for a number of times. Direct use of the existing MATLAB functions for this task is time consuming. To accelerate such repeated dilations and erosions, improving measures are proposed. Binary image pixels are categorized into open feature pixels, closed feature pixels, and background pixels. By introducing...
To a mobile robot vision system, it is of vital importance to separate objects from the background. This needs us firstly to extract edges from the images collected by the mobile robot. It is known that traditional edge detection algorithms are sensitive to noise and insufficient for complex edge feature. For the corridor image of a building, its signal-to-noise ratio is low and the edge complex....
Multivariate mathematical morphology is increasing becoming a powerful utility for color image processing and analysis. In the paper, a new vector ordering scheme based on distances in the HSI color space is proposed. The methodology first uses nonlinear weighted combination with color distances, where vectors are reduced to scalars with the help of weighted coefficients. These coefficients are entirely...
In this paper, a new method of image enhancement, which only depends on the difference of grey values of adjacency flat zones of an image, is proposed according to the theory of morphological reconstruction. First of all, a non-idempotent connected operator which can be the criterion for multi-scale enhancement is defined and the criterion is a key to enhancement of an image. Subsequently, the grey...
According to the practical demands of stitching and analysis of post-earthquake UAV aerial images, we extended the closing operation in mathematical morphology, brought forward the concept of extended closing operator and its formal definition. Algorithm is designed and software development for the algorithm is implemented by using VC++ 6.0. The correctness of the algorithm for extended closing operation...
Complementary DNA microarray technology is a powerful tool in many areas. Usually a two channel microarray red-green (RG) image is obtained. Due to the nature of cDNA microarray technology, a number of impairments affect the cDNA microarray image before the analysis such as identification of differentially expressed genes. Microarray image processing plays a crucial role in the extraction and quantitative...
We review the analysis of the Cosmic Web by means of an extensive toolset based on the use of Delaunay and Voronoi tessellations. The Cosmic Web is the salientand pervasive foamlike pattern in which matter has organized itself on scales of a few up to more than a hundred Megaparsec. The weblike spatial arrangementof galaxies and mass into elongated filaments,sheetlike walls and dense compact clusters,...
The concept of an L-fuzzy set generalizes not only the concept of a fuzzy set but also the concepts of interval-valued fuzzy sets and intuitionistic fuzzy sets (as will become clear in this paper). In addition, the class of L-fuzzy sets forms a complete lattice whenever the underlying set L constitutes a complete lattice. Based on these observations, we develop a general approach towards L-fuzzy mathematical...
Building extraction is one of the biggest problems of the photogrammetry. Automatic building extraction from aerial imagery in an urban environment is the main focus of this study. The strategy of our approach is to reduce the complexity of the image with the mathematical morphology. True color aerial images have been used as the information source. In this study, the mathematical morphologic operator...
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