Image Segmentation PDF Books and Manuals

SF-2014-38 Abstract (SF-2014-38-Abstract.pdf)

201 KBM Abdul RahmanEN 1 page

A Comparison Based Survey on Image Segmentation Techniques: Image segmentation is crucial in computer vision, involving feature extraction for analysis,

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Technical Report (Fundana-Heyden-Gosch-Schnoerr-2008.pdf)

414 KBEN 4 pages

A novel prior-based variational object segmentation method is proposed, which unifies image segmentation and denoising in a global minimization framework

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Preview of ilastik: interactive machine learning for segmentation

ilastik: interactive machine learning for segmentation (8.pdf)

797 KBEN 2 pages

ilastik is an interactive machine learning tool for (bio)image analysis, offering pre-defined workflows for image segmentation, object classification,

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fraudulent version (Fraud.pdf)

272 KBEN 10 pages

A nonparametric, probabilistic model for automatic segmentation of medical images is proposed, using a training set of images and corresponding label maps

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PDF (Ying_Weakly-Supervised_Object_Representation_Learning_for_Few-Shot_Semantic_Segmentation_WACV_2021_paper.pdf)

2.76 MBXiaowen Ying, Xin Li, Mooi Choo ChuahEN 10 pages

Training semantic segmentation models requires large, densely-annotated image datasets, which are costly to obtain

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Preview of Salient Segmentation Evaluation

Salient Segmentation Evaluation (POCV10_Vida.pdf)

2.29 MBvida1EN 25 pages

The goal of salient object segmentation is to find salient objects in an image, with evaluation methods comparing algorithm results to a reference

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<Paper> (1708.04943.pdf)

1.92 MBEN 12 pages

Researchers propose a Stacked Deconvolutional Network (SDN) for semantic image segmentation, addressing the issue of spatial resolution loss in Fully

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PDF Document (1997_Chalana_aMethodologyForEvaluationOfBoundaryDetectionAlgorithmsOnMedicalImages-1.pdf)

261 KBIEEEEN 11 pages

Researchers propose a methodology for evaluating medical image segmentation algorithms by comparing computer-generated boundaries to those outlined by multiple

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tutorial10.pdf (tutorial10.pdf)

6.88 MBSantiago Aja-FernándezEN 89 pages

Noise in magnetic resonance (MR) data is a main source of quality deterioration, affecting not only image quality and visual inspection, but also segmentation,

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DeepLabv3+ (1802.02611.pdf)

4 MBEN 18 pages

The authors propose DeepLabv3+, an encoder-decoder model for semantic image segmentation, which extends DeepLabv3 by adding a simple yet effective decoder

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Video Segmentation Tracking (1910.02258.pdf)

4.7 MBEN 8 pages

A light-weight variational framework is proposed for online tracking of object segmentations in videos using optical flow and image boundaries, providing

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Insideness (CBMM-Memo-105 v3.pdf)

8.33 MBEN 37 pages

Deep Neural Networks (DNNs) can solve the insideness problem in image segmentation, which requires evaluating long-range spatial dependencies, but they often

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3D Neuropil Segmentation (andres_11_3d.pdf)

20.85 MBEN 15 pages

3D segmentation of SBFSEM images of neuropil is achieved by a graphical model over supervoxel boundaries, which poses and approximately solves a joint

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Image Boundary Optimization (2023063056-2.pdf)

1.3 MBXYZEN 14 pages

A novel method optimizes rectangular boundaries in stitched images using a combination of deep learning and genetic algorithms, achieving high accuracy even

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Image Restoration (3Vol15No1.pdf)

145 KBllsEN 5 pages

A novel approach for image restoration via the nearest neighbor method is proposed, using an iterative process to enhance image quality by removing defects

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Plant Disease Detection (12122cseij15.pdf)

462 KBOnkar Saxena, Shikha Agrawal2 and Sanjay SilakariEN 10 pages

Image retrieval and feature extraction are key processes

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Download PDF (E1241103513.pdf)

288 KBIJSCEEN 6 pages

The evolution of digital computers and modern learning theories led to Computational Intelligence (CI) engineering, which can aid in liver surgery by analyzing

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Neural Caption Translation (201911_IEICE_johanes-e_1.paper.pdf)

2.01 MBEN 10 pages

This study proposes leveraging neural caption translation with visually grounded paraphrase augmentation, representing a concept with multiple paraphrase

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Preview of Unsupervised Segmentation of Smallholder Fields in Mozambique Using PlanetScope Imagery

Unsupervised Segmentation of Smallholder Fields in Mozambique Using PlanetScope Imagery (isprs-archives-XLIII-B3-2022-975-2022.pdf)

1.41 MBEN 7 pages

This study presents a method for unsupervised segmentation of smallholder fields in Mozambique using PlanetScope imagery, employing object-based image analysis (OBIA) techniques like mean shift and multiresolution approaches to accurately determine farm and field boundaries

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Dense Pose Transfer (Natalia_Neverova_Two_Stream__ECCV_2018_paper.pdf)

1.37 MBNatalia Neverova,Alp Guler,Iasonas KokkinosEN 16 pages

Dense Pose Transfer integrates surface-based modeling with neural synthesis, allowing accurate pose transfer by synthesizing a new image of a person based on a

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Preview of https://www.ijtsrd.com/papers/ijtsrd52793.pdf

https://www.ijtsrd.com/papers/ijtsrd52793.pdf (ijtsrd52793.pdf)

1.37 MBEN 9 pages

The study focuses on using hyperspectral imaging for foot inspection in vascular and neuro images, aiming to address diabetic neuropathy—a major global health issue linked with high mortality rates

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Preview of Semi-Supervised Fire Segmentation

Semi-Supervised Fire Segmentation (Lisa_Kuhlmann_Semi_Supervised_Smoke_Fire_Segmentation.pdf)

28.13 MBEN 87 pages

The semantic segmentation of smoke and fire can be a basis for the application of useful tools to support firefighting actions, but the amount of annotated

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Preview of http://www.mit.edu/~9.54/fall14/slides/Class13.pdf

http://www.mit.edu/~9.54/fall14/slides/Class13.pdf (Class13.pdf)

3.08 MBdannyhEN 54 pages

Clustering is the organization of unlabeled data into similarity groups called clusters, where a cluster is a collection of data items that are similar between

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arxiv link (1912.08142.pdf)

327 KBEN 20 pages

Causality matters in medical imaging, as it sheds new light on major challenges in machine learning for medical imaging, including data scarcity and data

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Baixar 974KB (2301E_Label-free-imaging-using-multiphoton-microscope.pdf)

974 KBNikon CorporationEN 2 pages

Mixed connective tissue and epithelial tumors of the breast, including fibroadenoma (FA) and phyllodes tumor (PT), can be difficult to distinguish due to

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Preview of **Joint Super-Resolution and Rectification for Solar Cell Inspection**

Joint Super-Resolution and Rectification for Solar Cell Inspection (2011.05003.pdf)

6.09 MBEN 10 pages

Solar cell inspection enhances defect detection through joint super-resolution and rectification of multi-frame low-resolution images using advanced CMOS sensors and lens distortion correction

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Minxing Zheng Resume (minxing_zheng.minxing_cv_phd_1_hbvh5l4nsf.pdf)

79 KBEN 1 page

Minxing Zheng is a Ph

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Credit Union Research (RMS-Credit-Union-Research-Services-2019_Blue.pdf)

13.04 MBEN 1 page

CREDIT UNIONS & FINANCIAL SERVICES offers research and marketing strategies, including image and awareness studies, employee surveys, new product feasibility

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Technical Report (diego_13_automated.pdf)

2.82 MBEN 4 pages

Researchers present ADINA, an automated pipeline for analyzing calcium imaging data to investigate neuronal activity patterns, detecting and classifying cell

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paper (GSchwartz_CPCV13.pdf)

4.82 MBEN 8 pages

Researchers propose "visual material traits" to recognize material properties at the pixel level, without relying on object-specific information

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Preview of The full research paper is here

The full research paper is here (2006.06676.pdf)

41.3 MBEN 37 pages

Researchers from NVIDIA propose an adaptive discriminator augmentation mechanism to stabilize training of generative adversarial networks (GANs) with limited

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Download (improving-self-supervised-representation-learning-via-sequential-adversarial-masking.pdf)

734 KBEN 9 pages

Recent self-supervised learning methods have shown that masking-based pretext tasks can be effective in computer vision, but existing approaches use random or

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paper (SLombardi_CVPR12.pdf)

450 KBEN 8 pages

Estimating reflectance and illumination from a single image is challenging when the object surface consists of multiple materials

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Article (PDF) (pdf-156091-86096)

1.65 MBANIAEN 18 pages

Researchers presented a methodology for automated analysis of chip shapes using image processing and a convolutional neural network (CNN), enabling

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Download (4MB) (Devereaux_etal_NT_2020_Automated_object_detection_for_visual_inspection_of_nuclear_reactor.pdf)

4.46 MBEN 28 pages

Automated object detection is applied to visual inspection of nuclear reactor cores, specifically Advanced Gas-Cooled Reactors (AGR), to identify reference

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<Paper> (1909.08542.pdf)

3.43 MBEN 14 pages

Recent advances in generative models and adversarial training have led to a flourishing image-to-image (I2I) translation literature, with applications

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Preview of Instance Segmentation via Instance Categories: A Simple and Flexible Framework

Instance Segmentation via Instance Categories: A Simple and Flexible Framework (1912.04488v1.pdf)

8.85 MBEN 10 pages

A novel, simple approach to instance segmentation that categorizes pixels based on instance location and size, eliminating the need for complex "detect-then-segment" or clustering methods

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Proposal download (212.pdf)

1.36 MBEN 7 pages

Ankita Ravi Vaswani and Klas Ove Möller propose a new framework for analyzing aquatic ecosystems using high-throughput in situ imaging, focusing on developing

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Preview of 39. Research Colloquium Series – 15 – Dr. Irraivan Elamvazuthi

39. Research Colloquium Series – 15 – Dr. Irraivan Elamvazuthi (39.-Research-Colloquium-Series--15-AP.-Ir.-Dr.-Irraivan-Elamvazuthi.pdf)

286 KBDr RosmiwatiEN 2 pages

The Research Colloquium Series – 15 was held on May 24th, 2019, from 03:00 pm to 04:00 pm at Universiti Teknologi PETRONAS, organized by IEEE RAS Malaysia

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Paper PDF (Koley_Picture_That_Sketch_Photorealistic_Image_Generation_From_Abstract_Sketches_CVPR_2023_paper.pdf)

9.24 MBSubhadeep Koley; Ayan Kumar Bhunia; Aneeshan Sain; Pinaki Nath Chowdhury; Tao Xiang; Yi-Zhe SongEN 12 pages

The approach uses a decoupled encoder-decoder training paradigm, where the decoder is a pre-trained StyleGAN trained on photos only

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PDF File (cvpr-2004.pdf)

752 KBEN 8 pages

Yann LeCun, Fu Jie Huang, and Léon Bottou assessed learning methods for generic object recognition with invariance to pose and lighting

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Online Retail Trends (1701047025.pdf)

74 KBpressEN 4 pages

Online retailing in India is a growing trend, with the market expected to become a huge hub in the near future due to increasing digital payments and

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Preview of Sentinel-2 Imagery for Fine-Grained Road Map Extraction Using Deep Learning Techniques

Sentinel-2 Imagery for Fine-Grained Road Map Extraction Using Deep Learning Techniques (isprs-annals-V-3-2021-9-2021.pdf)

3.15 MBEN 6 pages

This study explores extracting detailed road maps using Sentinel-2 satellite imagery with deep learning techniques, specifically convolutional neural networks (CNNs)

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Reporting Summary (41467_2019_12658_MOESM3_ESM.pdf)

82 KBerp1415EN 5 pages

This study uses quantitative methods with a research sample consisting of 19 healthy volunteers and 22 patients with disorders of consciousness (DOC)

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Análisis de Imagen con IA (Aivia_Brochure_ES.pdf)

534 KBES 4 pages

Aivia es un software de análisis de imagen basado en IA que hace que el análisis avanzado de datos sea accesible para todos los biólogos, sin necesidad de

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Preview of Comparing Traditional and Deep Learning Methods for Defect Detection in XCT Images

Comparing Traditional and Deep Learning Methods for Defect Detection in XCT Images (contribution_117_final.pdf)

2.37 MBYosifov, Miroslav; Weinberger, Patrick; Reiter, Michael; Beenhouwer, Jan De; Sijbers, Jan; Kastner,EN 10 pages

Defect detectability analysis compares traditional and deep learning methods in numerical simulations for X-ray computed tomography (XCT) in non-destructive testing (NDT)

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Preview of Data-driven modelling: an integrative approach for various application areas

Data-driven modelling: an integrative approach for various application areas (program.pdf)

14 KBAnna MarconatoEN 3 pages

Prof

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PDF Ebook about: Image Segmentation

Image Segmentation

SF-2014-38 Abstract (SF-2014-38-Abstract.pdf)

Technical Report (Fundana-Heyden-Gosch-Schnoerr-2008.pdf)

ilastik: interactive machine learning for segmentation (8.pdf)

fraudulent version (Fraud.pdf)

PDF (Ying_Weakly-Supervised_Object_Representation_Learning_for_Few-Shot_Semantic_Segmentation_WACV_2021_paper.pdf)

Salient Segmentation Evaluation (POCV10_Vida.pdf)

<Paper> (1708.04943.pdf)

PDF Document (1997_Chalana_aMethodologyForEvaluationOfBoundaryDetectionAlgorithmsOnMedicalImages-1.pdf)

tutorial10.pdf (tutorial10.pdf)

DeepLabv3+ (1802.02611.pdf)

Video Segmentation Tracking (1910.02258.pdf)

Insideness (CBMM-Memo-105 v3.pdf)

3D Neuropil Segmentation (andres_11_3d.pdf)

Image Boundary Optimization (2023063056-2.pdf)

Image Restoration (3Vol15No1.pdf)

Plant Disease Detection (12122cseij15.pdf)

Download PDF (E1241103513.pdf)

Neural Caption Translation (201911_IEICE_johanes-e_1.paper.pdf)

Unsupervised Segmentation of Smallholder Fields in Mozambique Using PlanetScope Imagery (isprs-archives-XLIII-B3-2022-975-2022.pdf)

Dense Pose Transfer (Natalia_Neverova_Two_Stream__ECCV_2018_paper.pdf)

https://www.ijtsrd.com/papers/ijtsrd52793.pdf (ijtsrd52793.pdf)

Semi-Supervised Fire Segmentation (Lisa_Kuhlmann_Semi_Supervised_Smoke_Fire_Segmentation.pdf)

http://www.mit.edu/~9.54/fall14/slides/Class13.pdf (Class13.pdf)

arxiv link (1912.08142.pdf)

Baixar 974KB (2301E_Label-free-imaging-using-multiphoton-microscope.pdf)

**Joint Super-Resolution and Rectification for Solar Cell Inspection** (2011.05003.pdf)

Minxing Zheng Resume (minxing_zheng.minxing_cv_phd_1_hbvh5l4nsf.pdf)

Credit Union Research (RMS-Credit-Union-Research-Services-2019_Blue.pdf)

Technical Report (diego_13_automated.pdf)

paper (GSchwartz_CPCV13.pdf)

The full research paper is here (2006.06676.pdf)

Download (improving-self-supervised-representation-learning-via-sequential-adversarial-masking.pdf)

paper (SLombardi_CVPR12.pdf)

Article (PDF) (pdf-156091-86096)

Download (4MB) (Devereaux_etal_NT_2020_Automated_object_detection_for_visual_inspection_of_nuclear_reactor.pdf)

<Paper> (1909.08542.pdf)

Instance Segmentation via Instance Categories: A Simple and Flexible Framework (1912.04488v1.pdf)

Proposal download (212.pdf)

39. Research Colloquium Series – 15 – Dr. Irraivan Elamvazuthi (39.-Research-Colloquium-Series--15-AP.-Ir.-Dr.-Irraivan-Elamvazuthi.pdf)

Paper PDF (Koley_Picture_That_Sketch_Photorealistic_Image_Generation_From_Abstract_Sketches_CVPR_2023_paper.pdf)

PDF File (cvpr-2004.pdf)

Online Retail Trends (1701047025.pdf)

Sentinel-2 Imagery for Fine-Grained Road Map Extraction Using Deep Learning Techniques (isprs-annals-V-3-2021-9-2021.pdf)

Reporting Summary (41467_2019_12658_MOESM3_ESM.pdf)

Análisis de Imagen con IA (Aivia_Brochure_ES.pdf)

Comparing Traditional and Deep Learning Methods for Defect Detection in XCT Images (contribution_117_final.pdf)

Data-driven modelling: an integrative approach for various application areas (program.pdf)

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Joint Super-Resolution and Rectification for Solar Cell Inspection (2011.05003.pdf)