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Manmade structure segmentation based on morphological operation from high resolution PAN image 2

Manmade structure segmentation based on morphological operat...

引用

2nd International conference on Range Technology, ICORT 2021

作者： Singh, Manish Pratap Gayathri, v. Chaudhuri, D. DRDO Young Scientist Laboratory - CT IIT-M Research Park Tamilnadu Chennai600113 India DRDO Integration Centrre Panagarh Base West Bengal Muraripur713419 India

ISBN: (纸本)9781665449564

Manmade structures are important objects or targets for both civilian and defence applications. Isolation of manmade structures from background are very critical task due to noise, non-uniform intensity distribution and class overlapping of remote sensing satellite image. image segmentation is a classic subject in the field of image processing and pattern recognition and also is a hotspot and focus of image processing techniques. The paper presents only the technique of manmade structures isolation from the background by morphological enhancement technique and local threshold method. The results demonstrate that the proposed algorithm is segmenting the manmade structures accurately and efficiently. © 2021 IEEE.

关键词： Morphology

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Application of mathematical morphology to problems related to image segmentation

Application of mathematical morphology to problems related t...

引用

2012 International conference on image processing, Computer vision, and Pattern Recognition, IPCv 2012

作者： Divakaruni, Bala S. Sunkara, Sree T. Department of Computer Science Northern Illinois University DeKalb IL 60115 United States

ISBN: (纸本)9781601322258

Mathematical morphology (MM) which is based on the algebra of nonlinear operators, operands on object shape and in many respects supersedes the linear algebraic system of convolution. And it has become a powerful tool in Digital image processing (DIP). It allows processing images to enhance fuzzy areas, segment objects, detect edges and analyze structures. Fuzzy systems are capable of representing diverse, non-exact, uncertain and inaccurate knowledge or information. They use qualifiers that are very close to human way of expressing knowledge, such as bright, medium dark, dark etc. They are based on fuzzy logic, which represents a powerful approach to decision making. Our approach is to apply mathematical morphological principals to some application of image analysis like Segmentation. And also to apply Fuzzy mathematical morphological principles and compare the results with basic mathematical morphology to show how the fuzzy sets specifically utilized in MM have turned into afunctional tool in DIP.

关键词： Mathematical morphology

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GRANULOMETRY-BASED DESCRIPTOR FOR PATHOLOGICAL TISSUE DISCRIMINATION IN HISTOPATHOLOGICAL imageS 25

GRANULOMETRY-BASED DESCRIPTOR FOR PATHOLOGICAL TISSUE DISCRI...

引用

25th IEEE International conference on image processing (ICIP)

作者： Esteban, A. E. Colomer, A. Naranjo, v. Sales, M. A. Univ Politecn Valencia Inst Invest & Innovac Bioingn 13BCamino Vera S-N E-46022 Valencia Spain Hosp Clin Univ Valencia Serv Anat Patol Valencia Spain

ISBN: (纸本)9781479970612

Prostate cancer is one of the types of cancer with the highest incidence in humans. In particular, prostate cancer is the main cause of death from cancer in men over 70 years of age. The automatic analysis of histological images is nowadays a key factor for helping doctors in the diagnosis task. In this paper, we present granulometries as a novel image descriptor to identify abnormal patterns in the prostatic tissue. The morphological alteration suffered by the main structures of pathological glands are registered by the proposed descriptor and achieved in a feature vector. A committee of SvM classifiers is trained making use of the extracted information with the aim of discriminating between healthy and pathological tissue. The performance of the proposed image descriptor is validated in 45 images provided by the Hospital Clinico of valencia. Accuracy, sensitivity, specificity and AUC values higher than 0.95 +/- 0.02 demonstrate the effectiveness of the method.

关键词： Granulometry geodesic granulometry SvM prostate cancer histology

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Automatic image segmentation based on tophat morphological transformation 6

Automatic image segmentation based on tophat morphological t...

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6th International conference on CAD Systems in Microelectronics, CADSM 2001

作者： Mosorov, v. Rusyn, B. Computer Engineering Department Technical University of Lodz Al. Politechniky 12 Lodz90-924 Poland Department of Methods and Means for Image Identification Karpenko Physico-Mechanical Institute Naukowa Str. 5 Lviv79035 Ukraine

ISBN: (纸本)9665530798

Relates to a method of processing a digital image representing ribbon-shaped objects of nonuniform intensity contrasting with a background of smaller intensity, which includes an automatic segmentation phase. We have given an image segmentation algorithm, object sizes unknown, based on morphological operation. The morphological operators use adapting size apertures for different image parts The algorithm has been implemented and executed on a set of grey-scale images. © 2001 Nat. Univ Lvivska Politechnika.

关键词： image segmentation

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A novel traffic-tracking system using morphological and blob analysis

A novel traffic-tracking system using morphological and blob...

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2012 International conference on Computing, Communication and Applications, ICCCA 2012

作者： Telagarapu, Prabhakar Rao, M. v. Nageswara Suresh, Gulivindala Department of ECE GMR Institute of Technology Rajam-532 127' AP India

ISBN: (纸本)9781467302722

A vision-based pedestrian and car tracking system which is able to distinguish between car and pedestrian is possible using morphological processing and Blob analysis. videos are sequence of image frames. Here the algorithm is developed to analyse a frame and the same will be applied to all frames in a video. The unwanted objects in video frame can be removed by converting colour frames into a gray scale and by applying thresholding algorithm. Threshold can be set depending on the object to be detected. Gray scale image will be converted to binary during thresholding process. morphological processing will be applied on binary image to remove small unwanted objects that are presented in a frame. A developed blob analysis technique for extracted binary image facilitates pedestrian and car detection. processing blob's information of relative size and location leads to distinguishing between pedestrian and car. The threshold' morphological and blobs process is applied to all frames in a video and finally original video with tagged cars will be displayed. © 2012 IEEE.

关键词： Binary images

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Parallel Matrix Algorithms for image processing

Parallel Matrix Algorithms for Image Processing

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2nd International conference on Parallel, Distributed, Grid and Cloud Computing for Engineering

作者： Kotas, P. vondrak, v. Praks, P. Stachon, M. VSB Tech Univ Ostrava Fac Elect Engn & Comp Sci Dept Appl Math Ostrava Czech Republic

ISBN: (纸本)9781905088423

The aim of this work is to solve the image retrieval problems with modern methods of numerical linear algebra, which can be easily parallelized for distributed memory architectures like a cluster platform. Algorithm presented in this paper is singular value decomposition (SvD). We show that SvD is directly linked with information retrieval through latent semantic indexing. However, our main concern is efficiency of computations of SvD. We present our parallel implementation of Householder bidiagonalization, which we consider the most computationally demanding step of singular value decomposition. We shall also compare our proposed algorithms with commonly used approaches on the experiments, and we shall emphasize their advatages in sence of usage of standard optimized linear algebra packages.

关键词： singular value decomposition latent semantic indexing matrix algorithms image retrieval

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Mathematical morphology approaches for fingerprints thinning

Mathematical morphology approaches for fingerprints thinning

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36th Annual International Carnahan conference on Security Technology

作者： Espinosa-Duró, v Univ Politecn Catalunya EUPMt Elect & Automat Dept Mataro 08303 BCN Spain

ISBN: (纸本)0780374363

Our paper describes the design and implementation of a fingerprint thinning algorithm by means of morphological image processing operations in order to improve the minutiae map involved. The final goal will aim to incorporate the thinning algorithm proposed with the minutiae extraction algorithm for fingerprint identification systems, developed and presented at IEEE ICCST'01 [1].

关键词： mathematical morphology non-linear image processing fingerprint recognition

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An Algorithm of Edge Detection Based on Soft Morphology

An Algorithm of Edge Detection Based on Soft Morphology

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2012 IEEE 11th International conference on Signal processing(ICSP 2012)

作者： Shang Junna Jiang Feng Hangzhou Dianzi University

ISBN: (纸本)9781467321969

An algorithm of edge detection based on mathematical morphology is discussed in the paper. Due to the characteristics of the basic morphology algorithm of image processing, the common edge detection algorithms with traditional morphological edge detection algorithm are analyzed and compared, and the characteristics of each, as well as inadequateness are given here. Combined with the geometric algorithms, applied to binary gray scale image edge detection, based on the classic edge detection algorithms and soft filtering properties, the morphology of the soft edge detection algorithm and optimization algorithm is put forward for the edge detection and image de-noising processing.

关键词： mathematical morphology binary gray scale image edge detection soft morphology

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Efficient Face Recognition Using morphological Operations 9

Efficient Face Recognition Using Morphological Operations

引用

9th Int Conf Ind Information Syst (ICIIS2014)

作者： Upraity, Harendra Arya, K. v. ABV Indian Inst Informat Technol & Management Gwalior 474015 India

ISBN: (纸本)9781479964994

There are many applications in which morphological operations play an important role. Morphology is a very useful mathematical tool or method to be used in image processing. It has many application like edge detection and extraction form images for specific purpose, feature extraction based on the boundary information etc. It has many advantages over other image processing tools like the complete outcome of the method lies in the selection of Structure Element( SE) and sequence of operations to be used. In face recognition also it has been used but only for binary images using the square shaped SE. Compensation for hair growth and cut have been assumed to be uniform which are not in real. There are also issues in image processing like corruption, occlusion, different facial expressions, poses which are tried to be solved by this method. A proposed methodology for a biometric system is described in this work. In this work the morphological operations are used for feature extraction in face biometrics while solving the above mentioned issues. In the preprocessing basic morphological operations are performed using circular SE for denoising and smoothing image. Feature extraction is done using the existing method of sparse representation based classification. Feature matching is done using eigenfaces and after getting initial results images are treated with more morphological transformations iteratively for getting better results. Here motto is to increase the efficiency of the biometric system for better results and less computation time using morphological operations. The morphological operations used here are based on the maximum and minimum intensity values so that they can be used for grayscale images. The system is tested on a customized database made from Indian face database (IIT K) and Essex University database.

关键词： Morphology Biometrics Feature extraction Face recognition morphological operations very high resolution images.

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Robust segmentation and representation of foreground key-regions in video sequences

Robust segmentation and representation of foreground key-reg...

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IEEE International conference on Acoustics, Speech, and Signal processing

作者： Hidalgo, JR Salembier, P Univ Politecn Catalunya Barcelona Spain

ISBN: (纸本)0780370414

This paper deals with the extraction and characterization of foreground objects in video sequences. The algorithm first computes the mosaic image representing the background information and then extracts foreground objects. In this last step, the foreground objects are progressively extracted taking into account the reliability of the contour information. This extraction step is based on morphological tools. Finally, the foreground objects are characterized by their shape, texture and motion trajectory. Moreover, some information about the temporal evolution of non rigid objects is also extracted. This feature extraction algorithm is particularly suitable for the indexing, search and retrieval applications.

关键词： image segmentation

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