Bhoj et al., 2022 - Google Patents
Image processing strategies for pig liveweight measurement: Updates and challengesBhoj et al., 2022
- Document ID
- 11521178563273312536
- Author
- Bhoj S
- Tarafdar A
- Chauhan A
- Singh M
- Gaur G
- Publication year
- Publication venue
- Computers and Electronics in Agriculture
External Links
Snippet
Liveweight (LW) of pigs is a key feature to monitor daily gain, nutritional status, and health performances and to forecast and control their marketable weight. The direct method of measurement is the most prevalent system which involves weighing of the pigs on a scale …
- 241000282898 Sus scrofa 0 title abstract description 139
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
- 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
- G06T2207/10—Image acquisition modality
-
- 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
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/00771—Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
-
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
-
- 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
- G06K9/00362—Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
- G06K9/00369—Recognition of whole body, e.g. static pedestrian or occupant recognition
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Bhoj et al. | Image processing strategies for pig liveweight measurement: Updates and challenges | |
Wurtz et al. | Recording behaviour of indoor-housed farm animals automatically using machine vision technology: A systematic review | |
Neethirajan | ChickTrack–a quantitative tracking tool for measuring chicken activity | |
Wang et al. | ASAS-NANP SYMPOSIUM: Applications of machine learning for livestock body weight prediction from digital images | |
Mortensen et al. | Weight prediction of broiler chickens using 3D computer vision | |
Fernandes et al. | Image analysis and computer vision applications in animal sciences: an overview | |
Nasirahmadi et al. | Implementation of machine vision for detecting behaviour of cattle and pigs | |
Fang et al. | Comparative study on poultry target tracking algorithms based on a deep regression network | |
Wongsriworaphon et al. | An approach based on digital image analysis to estimate the live weights of pigs in farm environments | |
Shi et al. | An approach of pig weight estimation using binocular stereo system based on LabVIEW | |
Kashiha et al. | Automatic weight estimation of individual pigs using image analysis | |
Porto et al. | A computer vision-based system for the automatic detection of lying behaviour of dairy cows in free-stall barns | |
Kashiha et al. | Automatic monitoring of pig locomotion using image analysis | |
Liu et al. | Automatic estimation of dairy cattle body condition score from depth image using ensemble model | |
Zhang et al. | Algorithm of sheep body dimension measurement and its applications based on image analysis | |
Van Hertem et al. | Comparison of segmentation algorithms for cow contour extraction from natural barn background in side view images | |
Kang et al. | Dimension-reduced spatiotemporal network for lameness detection in dairy cows | |
Yang et al. | A deep learning method for monitoring spatial distribution of cage-free hens | |
Wu et al. | Monitoring the respiratory behavior of multiple cows based on computer vision and deep learning | |
Jia et al. | Segmentation of body parts of cows in RGB-depth images based on template matching | |
Tscharke et al. | Review of methods to determine weight and size of livestock from images | |
Guo et al. | Detecting broiler chickens on litter floor with the YOLOv5-CBAM deep learning model | |
Rudenko et al. | Cattle breed identification and live weight evaluation on the basis of machine learning and computer vision. | |
Guo et al. | Automatic detection of brown hens in cage-free houses with deep learning methods | |
Shu et al. | Non-contact respiration rate measurement of multiple cows in a free-stall barn using computer vision methods |