A new method combining mathematical morphology with adaptive filtering

2008 ◽  
Author(s):  
Anqing Yang
Keyword(s):  
Mathematical Morphology ◽  
Adaptive Filtering ◽  
New Method

scholarly journals FILTERING TECHNIQUES ON ANALYSIS OF ARCHEOLOGY AREAS USING RADARSAT IMAGES: CASE STUDY OF LEMBAH BUJANG, MALAYSIA

2016 ◽  
Vol III-6 ◽  
pp. 9-14
Author(s):  
M. N. Norzailawati ◽  
R. S. Akma ◽  
A. Alias ◽  
M. A. Zuraini
Keyword(s):  
Mathematical Morphology ◽  
Adaptive Filtering ◽  
Speckle Noise ◽  
Archaeological Sites ◽  
Official Gazette ◽  
Radar Imagery ◽  
Multi Temporal ◽  
Processing Software ◽  
Filtering Techniques

Speckle noise present in radar imagery caused by interaction of out –of-phase waves with a target, the objective of this paper is attempt to test filtering techniques consist of Lee, Frost and Gamma Map to identify a potential shrines area in Lembah Bujang using RADARSAT imageries. The multi-temporal images of RADARSAT for years 2003 and 2014 have been used filtering techniques in identifying potential shrines consist of have been used and tested to selected study areas with using processing software of ENVI 4.8 and ArcGIS 10.2. Based on mathematical morphology, the speckles in these images were reduced, once the reduction is achieved, the enhancement of archaeological sites is accomplished. The finding shows that Local Adaptive Filtering on GAMMA Map filter is the best techniques in identifying potential shrines areas at once as guidance to pursuing an area as official gazette historical site in Malaysia context.

Image Retrieval Based on Edge Detection and Histogram

2012 ◽  
Vol 157-158 ◽  
pp. 1038-1041
Author(s):  
Wei Dong ◽  
Yan Dong Tang
Keyword(s):  
Edge Detection ◽  
Image Retrieval ◽  
Mathematical Morphology ◽  
Paper Analysis ◽  
Experimental Results ◽  
New Method

Based on the existing algorithm, improved mathematical morphology for image retrieval, a new method, using the combination of edge magnitude histogram and edge angular histogram, was proposed in this paper. Analysis and experimental results reveal that the proposed algorithm has a superior image retrieving performance.

scholarly journals A new method for vehicles detection and tracking using information and image processing

2021 ◽  
Vol 11 (6) ◽  
pp. 4942
Author(s):  
Mazouzi Amine ◽  
Kerfa Djoudi ◽  
Ismail Rakip Karas
Keyword(s):  
Image Processing ◽  
Mathematical Morphology ◽  
New Method ◽  
Video Sequences ◽  
Detection Level ◽  
Low Level ◽  
Detection And Tracking ◽  
High Level

<span lang="EN-US">In this article, a new method of vehicles detecting and tracking is presented: A thresholding followed by a mathematical morphology treatment are used. The tracking phase uses the information about a vehicle. An original labeling is proposed in this article. It helps to reduce some artefacts that occur at the detection level. The main contribution of this article lies in the possibility of merging information of low level (detection) and high level (tracking). In other words, it is shown that many artefacts resulting from image processing (low level) can be detected, and eliminated thanks to the information contained in the labeling (high level). The proposed method has been tested on many video sequences and examples are given illustrating the merits of our approach.</span>

Method of License Plate Location Based on Mathematical Morphology and Color Characteristics

2014 ◽  
Vol 602-605 ◽  
pp. 2263-2266
Author(s):  
Ning Lian ◽  
Yan Lei Xu
Keyword(s):  
Mathematical Morphology ◽  
New Method ◽  
License Plate ◽  
License Plate Location ◽  
Color Characteristics ◽  
Image Edge Detection ◽  
Single Method ◽  
Image Edge ◽  
Location Algorithm ◽  
Plate Location

According to restrictions existing in the application of single license plate location algorithm in complicated background. A license plate location algorithm based on mathematical morphology and color characteristics is proposed. Firstly, the new method uses Ostu algorithm to select an optimal threshold, and according to the threshold carries on binary processing, then by using a new method of mathematical morphology for image edge detection. Finally combined mathematical morphology with color characteristic to locate license plate .Experiments show that this new method with higher accuracy and fewer restrictions on background is superior to traditional or a single method and can be widely used.

A new method for low-rank transform domain adaptive filtering

2000 ◽  
Vol 48 (4) ◽  
pp. 1097-1109 ◽  
Author(s):  
B. Raghothaman ◽  
D.A. Linebarger ◽  
D. Begusic
Keyword(s):  
Adaptive Filtering ◽  
New Method ◽  
Low Rank ◽  
Transform Domain ◽  
Rank Transform

A Novel Text Extraction Method from Pure Text Images Using Morphological Operations

2014 ◽  
Vol 989-994 ◽  
pp. 3768-3772
Author(s):  
Xuan Qi Chen ◽  
Biao He ◽  
Guo Cheng Wang ◽  
Yao Xin Li
Keyword(s):  
Mathematical Morphology ◽  
Extraction Method ◽  
New Method ◽  
Morphological Operations ◽  
Text Extraction ◽  
Text Images ◽  
Robust To Noise

This paper presents a new method to achieve effective text extraction using mathematical morphology. Firstly, the document is segmented and divided into several parts based on the layout. And then, every part is dilated to big connected regions, whose biggest skeleton will be extracted and serve as a structure element (SE). Finally, a proposed region-concatenated operation with the SE will be employed, whose result can be the input of subsequent OCR system. Experimentally, the proposed method is robust to noise, the text orientation, font style and size, language and layout.

On the Mathematical Morphology Based Coupler-Curve Feature Extraction for the Purpose of Synthesis of Path Generating Mechanism

2008 ◽  
Author(s):  
Jin Xie ◽  
Hui Yan ◽  
Yong Chen
Keyword(s):  
Feature Extraction ◽  
Mathematical Morphology ◽  
Fourier Transformation ◽  
Closed Curve ◽  
New Method ◽  
Structure Parameters ◽  
Translation Invariant ◽  
Tangent Circle ◽  
Key Issues ◽  
New Formula

To extract the features from a coupler curve is one of key issues in the synthesis of path generating mechanism. Fourier transformation is widely used at present. A new method of feature extraction, named mathematical morphology based method, emerges in resent years. Based on the essential operations of mathematical morphology, the shape spectrum (SS) of the coupler curve is computed. SS is rotation-scale-translation invariant. Therefore, as a means of describing coupler curve, it has possesses advantage over that based on Fourier transformation. In this paper, what kind information involved in SS of a curve is revealed. It is shown that the largest radius of internally tangent circle and the area inside of the curve can be inferred from its SS. This paper also shows that SS is without the information of the structure feature which is necessary to describe a nonsimple closed coupler curve. Eight-figure-shaped coupler curve is the simplest nonsimple closed curve. To describe such curve, three structure parameters of the curve should be involved besides that provided by SS of curve. A method using five numbers to describe and differentiate an eight-figure-shaped coupler curve is proposed in this paper. The five numbers can be obtained from its SS and the structure of the curve. A new formula to compute the similarity between two eight-figure-shaped couplers using the five numbers is presented.

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