Manik et al., 2016 - Google Patents
Leaf morphological feature extraction of digital image anthocephalus cadambaManik et al., 2016
View PDF- Document ID
- 8395377623489696119
- Author
- Manik F
- Herdiyeni Y
- Herliyana E
- Publication year
- Publication venue
- TELKOMNIKA (Telecommunication Computing Electronics and Control)
External Links
Snippet
This research implemented an image feature extraction method using morphological techniques. The goal of this proccess is detecting objects that exist in the image. The image is converted into a grayscale image format. Then, grayscale image is processed with …
- 230000000877 morphologic 0 title abstract description 27
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
- 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
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6228—Selecting the most significant subset of features
-
- 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
- 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
- G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
- G06K9/00147—Matching; Classification
-
- 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
- G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
-
- 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
- G06T2207/30024—Cell structures in vitro; Tissue sections in vitro
-
- 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
- G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
- G06K9/0014—Pre-processing, e.g. image segmentation ; Feature extraction
-
- 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
- G06T7/00—Image analysis
- G06T7/40—Analysis of texture
-
- 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
- G06K9/20—Image acquisition
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Manik et al. | Leaf morphological feature extraction of digital image anthocephalus cadamba | |
Rastogi et al. | Leaf disease detection and grading using computer vision technology & fuzzy logic | |
Jaisakthi et al. | Grape leaf disease identification using machine learning techniques | |
Zhou et al. | Wheat ears counting in field conditions based on multi-feature optimization and TWSVM | |
Francis et al. | Identification of leaf diseases in pepper plants using soft computing techniques | |
Arya et al. | Detection of unhealthy plant leaves using image processing and genetic algorithm with Arduino | |
Rajan et al. | Detection and classification of pests from crop images using support vector machine | |
Ishak et al. | Weed image classification using Gabor wavelet and gradient field distribution | |
Devi et al. | H2K–A robust and optimum approach for detection and classification of groundnut leaf diseases | |
AlShahrani et al. | Automated system for crops recognition and classification | |
Rashmi et al. | A machine learning technique for identification of plant diseases in leaves | |
Sabri et al. | Nutrient deficiency detection in maize (Zea mays L.) leaves using image processing | |
Li et al. | Performance evaluation of crop segmentation algorithms | |
Supekar et al. | Multi-parameter based mango grading using image processing and machine learning techniques | |
Arboleda et al. | Pineapple maturity classifier using image processing and fuzzy logic | |
Patel et al. | An intelligent grading system for automated identification and classification of banana fruit diseases using deep neural network | |
Anami et al. | Automated Paddy Variety Recognition from Color-Related Plant Agro-Morphological Characteristics. | |
Hidayat et al. | Identification of plant types by leaf textures based on the backpropagation neural network | |
Yadav et al. | An automated image processing method for segmentation and quantification of rust disease in maize leaves | |
Gowrishankar et al. | An integrated image processing approach for diagnosis of groundnut plant leaf disease using ANN and GLCM | |
Poojari et al. | Identification and solutions for grape leaf disease using convolutional neural network (CNN) | |
Thella et al. | A comparative analysis on machine learning models for accurate identification of medical plants | |
Tan et al. | A framework for measuring infection level on cacao pods | |
Singh et al. | A Survey on Different Methods for Medicinal Plants Identification and Classification System | |
CN116416523A (en) | Machine learning-based rice growth stage identification system and method |