[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Saif et al., 2016 - Google Patents

Gradient based image edge detection

Saif et al., 2016

View PDF
Document ID
2096247693882364678
Author
Saif J
Hammad M
Alqubati I
Publication year
Publication venue
International Journal of Engineering and Technology

External Links

Snippet

Due to the importance of image edge detection in image analysis, object recognition and many applications, many edge detection algorithms are used to detect edges of objects in the image. Edges typically occur on the boundary between two different regions in the …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • 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
    • 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
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • 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
    • G06T2207/20048—Transform domain processing
    • 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
    • G06T2207/30108—Industrial 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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • 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
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6201—Matching; Proximity measures
    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • 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
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • 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
    • G06T5/20—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image by the use of local operators
    • 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

Similar Documents

Publication Publication Date Title
Saif et al. Gradient based image edge detection
CN111209952B (en) Underwater target detection method based on improved SSD and migration learning
CN108022233A (en) A kind of edge of work extracting method based on modified Canny operators
Igbinosa Comparison of edge detection technique in image processing techniques
He et al. Retinal image denoising via bilateral filter with a spatial kernel of optimally oriented line spread function
Ramya et al. A robust segmentation algorithm using morphological operators for detection of tumor in MRI
CN115861226A (en) Method for intelligently identifying surface defects by using deep neural network based on characteristic value gradient change
AlAzawee et al. Using morphological operations—Erosion based algorithm for edge detection
Aliyu et al. Segmentation and detection of sickle cell red blood image
Reddy et al. Canny scale edge detection
Rana et al. Review on traditional methods of edge detection to morphological based techniques
Gao et al. New edge detection algorithms using alpha weighted quadratic filter
Mehena et al. Medical image edge detection based on soft computing approach
CN113807206B (en) SAR image target identification method based on denoising task assistance
Gerg et al. Data adaptive image enhancement and classification for synthetic aperture sonar
Rao et al. A review on edge detection technique in image processing techniques
Gun et al. A contour detector with improved corner detection
Wang et al. An automatic bridge detection technique for high resolution SAR images
CN106846366A (en) Use the TLD video frequency motion target trackings of GPU hardware
Mekideche et al. A new edge detector based on fractional integration
Polejowska et al. Impact of Visual Image Quality on Lymphocyte Detection Using YOLOv5 and RetinaNet Algorithms
Zheng et al. A CBCT series slice image segmentation method
Saif Tuning of Canny Image Edge Detection
Rastogi et al. Digital Image Conspicuous Features Classification Using TLCNN Model with SVM Classifier
Lee Literature review on edge detection methods