Noviana et al., 2017 - Google Patents
Axial segmentation of lungs CT scan images using canny method and morphological operationNoviana et al., 2017
View PDF- Document ID
- 16322780663730823903
- Author
- Noviana R
- Febriani F
- Rasal I
- Lubis E
- Publication year
- Publication venue
- AIP Conference Proceedings
External Links
Snippet
Segmentation is a very important topic in digital image process. It is found simply in varied fields of image analysis, particularly within the medical imaging field. Axial segmentation of lungs CT scan is beneficial in designation of abnormalities and surgery planning. It will do to …
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20224—Image subtraction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10081—Computed x-ray tomography [CT]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10088—Magnetic resonance imaging [MRI]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10116—X-ray image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
- G06T2207/20156—Automatic seed setting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/007—Dynamic range modification
- G06T5/008—Local, e.g. shadow enhancement
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
- G06T3/0031—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for topological mapping of a higher dimensional structure on a lower dimensional surface
- G06T3/0037—Reshaping or unfolding a 3D tree structure onto a 2D plane
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US7876947B2 (en) | System and method for detecting tagged material using alpha matting | |
US7315639B2 (en) | Method of lung lobe segmentation and computer system | |
Anu et al. | Detection of bone fracture using image processing methods | |
Pulagam et al. | Automated lung segmentation from HRCT scans with diffuse parenchymal lung diseases | |
CN105513036B (en) | The dividing method and device of three-dimensional CT image | |
Parveen et al. | Detection of lung cancer nodules using automatic region growing method | |
Zhao et al. | An automated pulmonary parenchyma segmentation method based on an improved region growing algorithmin PET-CT imaging | |
Yan et al. | Improved mask R-CNN for lung nodule segmentation | |
US20050002548A1 (en) | Automatic detection of growing nodules | |
Karthikeyan et al. | Lungs segmentation using multi-level thresholding in CT images | |
Noviana et al. | Axial segmentation of lungs CT scan images using canny method and morphological operation | |
CN116309647B (en) | Method for constructing craniocerebral lesion image segmentation model, image segmentation method and device | |
Lei et al. | Automated lung segmentation algorithm for CAD system of thoracic CT | |
Rao et al. | Automatic segmentation based graphical interface for recognition of tomography image analysis of damage cell | |
Subashini et al. | Pectoral muscle removal and detection of masses in digital mammogram using CCL | |
Shaziya et al. | Comprehensive review of automatic lung segmentation techniques on pulmonary CT images | |
Khan et al. | Morphology preserving segmentation method for occluded cell nuclei from medical microscopy image | |
Macho et al. | Segmenting Teeth from Volumetric CT Data with a Hierarchical CNN-based Approach. | |
Pandey et al. | A Framework for Mathematical Methods in Medical Image Processing | |
Amritha et al. | Liver tumor segmentation and classification using deep learning | |
Kanade et al. | Suppressing Chest Radiograph Ribs for Improving Lung Nodule Visibility by using Circular Window Adaptive Median Outlier (CWAMO) | |
Gong et al. | Segmentation of pulmonary blood vessels based on fractional differentiation in 3D chest CT images | |
Nalini et al. | Detection of Bone Fracture using Prewitt Edge Algorithm and Comparing with Laplacian Algorithm to Increase Accuracy and Sensitivity. | |
Abdul-Zahra et al. | A threshold approach to tumor isolation on medical lung radiographs | |
Prakash | Medical image processing methodology for liver tumour diagnosis |