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检索条件"主题词=Watershed algorithm"

共 271 条记录，以下是31-40 订阅

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Segmentation of Cotton Leaves Based on Improved watershed algorithm 9th

Segmentation of Cotton Leaves Based on Improved Watershed Al...

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9th IFIP WG 5.14 International Conference on Computer and Computing Technologies in Agriculture (CCTA)

作者： Niu, Chong Li, Han Niu, Yuguang Zhou, Zengchan Bu, Yunlong Zheng, Wengang Taiyuan Univ Technol Coll Informat Engn Taiyuan 030024 Peoples R China Beijing Res Ctr Informat Technol Agr Beijing 100097 Peoples R China Beijing Acad Agr & Forestry Sci Natl Engn Res Ctr Informat Technol Agr Beijing 100097 Peoples R China Beijing Kingpeng Int Hitech Corp Beijing 100094 Peoples R China

ISBN: (纸本)9783319483573;9783319483566

Crop leaf segmentation was one important research content in agricultural machine vision applications. In order to study and solve the segmentation problem of occlusive leaves, an improved watershed algorithm was proposed in this paper. Firstly, the color threshold component (G-R)/(G+R) was used to extract the green component of the cotton leaf image and remove the shadow and invalid background. Then the lifting wavelet algorithm and Canny operator were applied to extract the edge of the pre-processed image to extract cotton leaf region and enhance the leaf edge. Finally, the image of the leaf was labeled with morphological methods to improve the traditional watershed algorithm. By comparing the cotton leaf area segmented using the proposed algorithm with the manually extracted cotton leaf area, successful rates for all the images were higher than 97 %. The results not only demonstrated the effectiveness of the algorithm, but also laid the foundation for the construction of cotton growth monitoring system.

关键词： Machine vision Image segmentation Lifting wavelet watershed algorithm

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Marker-based watershed algorithm for segmentation of the infrared images 16

Marker-based watershed algorithm for segmentation of the inf...

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16th International System-on-Chip Design Conference (ISOCC)

作者： Manda, Manikanta Prahlad Park, ChanSu Oh, Byeong Cheol Kim, Hi-Seok Cheongju Univ Dept Elect Engn Cheongju South Korea

ISBN: (纸本)9781728124780

Most of the marker-based watershed methods require manual selecting the markers which need human interaction. We propose a new automatic markers generation method for the marker-based watershed algorithm. This algorithm uses Otsu's threshold information for generating markers. The proposed method is tested on the infrared images and we have obtained satisfactory results.

关键词： Image segmentation markers Otsu's threshold watershed algorithm Infrared images

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Image of Monolithic Circuit Segmentation Based on watershed algorithm

Image of Monolithic Circuit Segmentation Based on Watershed ...

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International Conference on Sensors, Measurement and Intelligent Materials (ICSMIM 2012)

作者： Wang, Zhulin Fang, Bin Guo, Xiwei Ordnance Engn Coll Dept Missile Engn Shijiazhuang 050003 Peoples R China

ISBN: (纸本)9783037856529

Image segmentation is a key technology in image engineering, it occupy an important position. This paper introduces the watershed transform to Image of monolithic circuit processing method, and then introduced the watershed transform to Image of monolithic circuit segmentation and sample. The results show that, by using the watershed algorithm and morphological processing function, which is connected with a plurality of object images are segmented into a plurality of single object, to achieve the image segmentation, and as far as possible to reduce or eliminate the phenomenon of over-segmentation. Finally it points out the further direction of research.

关键词： watershed algorithm Monolithic Circuit Over-Segmentation Morphology

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Novel method of MRI medical image segmentation combining watershed algorithm and WKFCM algorithm

Novel method of MRI medical image segmentation combining wat...

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2nd International Conference on Frontiers of Manufacturing and Design Science (ICFMD 2011)

作者： Liu, Jinqing Chen, Kun Fujian Normal Univ Sch Phys & Optoelect Technol Fuzhou 350007 Fujian Peoples R China

ISBN: (纸本)9783037852828

Aimed at the disadvantage of over-segmentation that traditional watershed algorithm segmented MM images, a new method of MRI image segmentation was presented. First, through traditional watershed segmentation algorithm, the image was segmented into different areas, and then based on the improved kernel-clustering algorithm, we used Mercer-kernel to map average gray value of each area to high-dimensional feature space, making originally not displayed features manifested. In this way, we can achieve a more accurate clustering, and solve over-segmentation problem of watershed algorithm segmenting MRI images efficiently, thereby get better segmentation result. Experimental results show that the method of this paper can segment brain MRI images satisfactorily, and obtain clearer segmentation images.

关键词： watershed algorithm Mercer-kernel High-dimensional feature space WKFCM algorithm MRI image segmentation

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Building Segmentation in Mountainous Environment Based on Improved watershed algorithm 3

Building Segmentation in Mountainous Environment Based on Im...

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3rd International Conference on Video and Image Processing (ICVIP)

作者： Shi, Huien Fu, Wentao Huang, Jianhua Guilin Univ Elect Technol 1 Jinji Rd Guilin Peoples R China

ISBN: (纸本)9781450376822

Making full use of satellite remote sensing technology to analyze and study high-resolution remote sensing images is helpful to the efficient supervision of urban land use. However, the segmentation and extraction of building boundary in mountainous area has always been a difficult problem to be solved. Therefore, it is particularly important to carry out the research on the segmentation and extraction of building boundary in mountainous area. In this paper, based on the traditional watershed algorithm, the gray image gradient operator and morpho-logical opening and closing operation are combined to improve the accuracy of image segmentation in mountainous area, and the experimental results are quantified by structural similarity to verify the improved algorithm watershed algorithm is superior to traditional watershed algorithm in building segmentation accuracy of high-resolution remote sensing image in multi mountainous area.

关键词： Remote sensing image watershed algorithm image segmentation morphology mountainous area

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The Segmentation of Overlapping Milk Somatic Cells Based on Improved watershed algorithm

The Segmentation of Overlapping Milk Somatic Cells Based on ...

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International Conference on Artificial Intelligence and Computational Intelligence

作者： Na, Su Heru, Xue Inner Mongolia Agr Univ Coll Comp & Informat Engn Hohhot Peoples R China

ISBN: (纸本)9780769538167

In view of the shape irregularity and the stack phenomenon in milk somatic cell pictures. An improvement watershed method is proposed in the paper, which is mainly used in resolving the over-segmentation problem in watershed algorithm. Its main idea is: distance transformation is used for binary image firstly, obtaining the central points in the local maximum regions (seed points), and merging the redundancy seed points. This makes the over-segmentation problem was basically solved. Finally the small areas are deleted after watershed segmentation. Experiments show that the improved watershed method can accurately and quickly separate the milk somatic cells and control the over-segmentation. The effect is obvious.

关键词： watershed algorithm image segmentation cell separation milk somatic cell

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AORTA SEGMENTATION USING THE watershed algorithm FOR AN AUGMENTED REALITY SYSTEM IN LAPAROSCOPIC SURGERY

AORTA SEGMENTATION USING THE WATERSHED ALGORITHM FOR AN AUGM...

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18th IEEE International Conference on Image Processing (ICIP)

作者： Lopez-Mir, F. Naranjo, V. Angulo, J. Villanueva, E. Alcaniz, M. Lopez-Celada, S. Univ Politecn Valencia Inst Interuniv Invest Bioingn & Tecnol Orientada Camino Vera S-N Valencia 46022 Spain MINES Paristech Ctr Morphol Math Math Syst Paris France Hosp Clin Benidorm Unidad Resonancia Magnet INSCANNER Benidorm Spain

ISBN: (纸本)9781457713033

This paper presents an algorithm for a 3D segmentation of the aorta artery in magnetic resonance images (MRI). The purpose is to project the 3D segmented aorta in the patient's abdomen with an augmented reality (AR) system to help the surgeon in laparoscopic interventions. In order to obtain accurate results in the segmentation process a marker-controlled watershed algorithm is used. Since this method requires a robust gradient image and two marker sets, a preprocessing step is carried out in each image. The algorithm is automatic and the results and promising with a Jaccard coefficient (JC) of 0.8107 +/- 0.0228.

关键词： medical image processing aorta segmentation mathematical morphology watershed algorithm augmented reality

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Human Skin Region Segmentation Based on Chrominance Component using Modified watershed algorithm 12

Human Skin Region Segmentation Based on Chrominance Componen...

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12th International Conference on Communication Networks (ICCN) / 12th International Conference on Data Mining and Warehousing (ICDMW) / 12th International Conference on Image and Signal Processing (ICISP)

作者： Das, Alak Ghoshal, Dibyendu Govt Degree Coll Dhalai 799273 Tripura India Natl Inst Technol West Triura 799046 Tripura India

A novel watershed segmentation algorithm has been proposed to segment the human skin region of RGB color images based on Cb component of YCbCr color space in this paper. The conventional watershed segmentation algorithm is not suitable for segmentation of human skin region from color images directly, since it is difficult to decide suitable color information of human skin. At first stage, the RGB image is converted into YCbCr color space which contains three components luminance, blue difference component (Cb) and red-difference component (Cr). The Cb component has been extracted and used for further processing steps. After extraction of Cb component, the modified marker based watershed algorithm has been applied for segmentation of human skin region only from RGB color image. The proposed method has been tested on FRI CVL Face Database. In experimental stage, results show that the proposed technique avoids over segmentation problem and produce good segmentation result which is comparable with the same obtained by other algorithms. (C) 2016 Published by Elsevier B.V.

关键词： Cb Component Cr Component Segmentation Skin Region watershed algorithm

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CHRONIC LYMPHOCYTIC LEUKEMIA CELL SEGMENTATION FROM MICROSCOPIC BLOOD IMAGES USING watershed algorithm AND OPTIMAL THRESHOLDING

CHRONIC LYMPHOCYTIC LEUKEMIA CELL SEGMENTATION FROM MICROSCO...

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26th IEEE Annual Canadian Conference on Electrical and Computer Engineering (CCECE)

作者： Mohammed, Emad A. Mohamed, Mostafa M. A. Naugler, Christopher Far, Behrouz H. Univ Calgary Schulich Sch Engn Calgary AB Canada

ISBN: (纸本)9781479900336;9781479900312

Chronic lymphocytic leukemia (CLL) is the most common type of blood cancer in Canadian adults. CLL cells are abnormal lymphocytes, which tend to be slightly larger than normal resting lymphocytes and have a condensed appearance to their chromatin. There is a low number of related works on this disease. This paper presents a method to segment normal and CLL lymphocytes into two parts: nucleus, and cytoplasm using a watershed algorithm and optimal thresholding. The goal of this work is reducing the over and under segmentation error of the watershed algorithm by suppressing 1% of the local minima. We tested 140 microscopic lymphocyte images (normal and CLL), and the algorithm obtained 99.92% maximum accuracy for nucleus segmentation, and 99.85% maximum accuracy for cell segmentation. The cytoplasm can be extracted with a 99.63% maximum accuracy with simple mask subtraction. The code for the presented algorithm is shared on the MATLAB (R) file exchange website.

关键词： Chronic Lymphocytic Leukemia (CLL) Segmentation WBC watershed algorithm Optimal Thresholding

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Novel watershed algorithm for Touching Rice Image Segmentation

Novel Watershed Algorithm for Touching Rice Image Segmentati...

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The 2011 International Conference on Advanced Materials and Information Technology Processing(AMITP 2011)

作者： Kuang Fang-Jun Xu Wei-Hong Wang Yan-Hua School of Computer Science and Technology Nanjing University of Science and Technology Department of Computer Science and Technology Hunan Vocational Institute of Safety and Technology College of Computer and Communications Engineering Changsha University of Science and Technology

ISBN: (纸本)9783037851579

An efficient watershed algorithm is proposed in order to solve the problem that touching rice is difficult to process during consequent image segmentation. First, the binary image is ultra-eroded by using a different structuring element to form different distance image. Second, watershed image is obtained by using the watershed algorithm. Finally, the real watershed can be extracted. Compared with other watershed algorithms, the experiment results demonstrated that this method segmented out rice successfully in the touching rice image and improved the measurement accuracy, and also overcome over-segmentation effectively.

关键词： watershed algorithm distance transformation ultra-erosion image segmentation real watershed touching rice

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