MY202990A - A rf model based insect identification method - Google Patents

A rf model based insect identification method

Info

Publication number
MY202990A
MY202990A MYPI2019007656A MYPI2019007656A MY202990A MY 202990 A MY202990 A MY 202990A MY PI2019007656 A MYPI2019007656 A MY PI2019007656A MY PI2019007656 A MYPI2019007656 A MY PI2019007656A MY 202990 A MY202990 A MY 202990A
Authority
MY
Malaysia
Prior art keywords
image
insect
interest
points
captured
Prior art date
Application number
MYPI2019007656A
Inventor
Kumarasan Yukgehnaish
Parimannan Sivachandran
Sivaprakasam Sumitra
Rajandas Heera
Su Yin Lee
Kumar Chandrasekaran Girish
Ravichandran Manickam
Original Assignee
Collaborative Research In Engineering Science & Tech Crest Center
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Collaborative Research In Engineering Science & Tech Crest Center filed Critical Collaborative Research In Engineering Science & Tech Crest Center
Priority to MYPI2019007656A priority Critical patent/MY202990A/en
Priority to PCT/MY2020/050199 priority patent/WO2021125936A1/en
Publication of MY202990A publication Critical patent/MY202990A/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/24323—Tree-organised classifiers
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/20—Ensemble learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection
    • G06T7/0008—Industrial image inspection checking presence/absence
    • G—PHYSICS
    • G06—COMPUTING OR 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 OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
    • G—PHYSICS
    • G06—COMPUTING OR 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 OR 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
    • G06T2207/20076—Probabilistic image processing
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/06—Recognition of objects for industrial automation

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Biology (AREA)
  • Medical Informatics (AREA)
  • Evolutionary Computation (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • Quality & Reliability (AREA)
  • Artificial Intelligence (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Algebra (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • General Health & Medical Sciences (AREA)
  • Operations Research (AREA)
  • Probability & Statistics with Applications (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • Geometry (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Catching Or Destruction (AREA)

Abstract

The various embodiments of the present invention provide an image of an insect is captured. The image is read for prediction of the insect species by converting the captured image into a grayscale (101-102). The captured image is further segmented into a plurality of images based on a number of insect in the captured image to derive interested features or points of interest in each image (103-104). Then, a pixel value of each point of interest is derived (105). An outline of the points of interest is drawn by using a convex hull algorithm which is further used to derive a surface area of an object (image of the insect) within the points of interest (106). The surface area data is fed in to a random forest model to calculate to a confidence score (107). The confidence score is used to predict the insect species. (FIG. 3)
MYPI2019007656A 2019-12-20 2019-12-20 A rf model based insect identification method MY202990A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
MYPI2019007656A MY202990A (en) 2019-12-20 2019-12-20 A rf model based insect identification method
PCT/MY2020/050199 WO2021125936A1 (en) 2019-12-20 2020-12-17 A rf model based insect identification method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
MYPI2019007656A MY202990A (en) 2019-12-20 2019-12-20 A rf model based insect identification method

Publications (1)

Publication Number Publication Date
MY202990A true MY202990A (en) 2024-05-31

Family

ID=76478462

Family Applications (1)

Application Number Title Priority Date Filing Date
MYPI2019007656A MY202990A (en) 2019-12-20 2019-12-20 A rf model based insect identification method

Country Status (2)

Country Link
MY (1) MY202990A (en)
WO (1) WO2021125936A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20250318507A1 (en) 2022-05-06 2025-10-16 Board Of Trustees Of The University Of Arkansas Smart insect control device via artificial intelligence in real time

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7496228B2 (en) * 2003-06-13 2009-02-24 Landwehr Val R Method and system for detecting and classifying objects in images, such as insects and other arthropods
US10496893B2 (en) * 2016-08-11 2019-12-03 DiamondFox Enterprises, LLC Handheld arthropod detection device
CN110516712B (en) * 2019-08-01 2023-04-07 仲恺农业工程学院 Insect pest image recognition method, insect pest monitoring method, insect pest image recognition device, insect pest monitoring equipment and insect pest image recognition medium

Also Published As

Publication number Publication date
WO2021125936A1 (en) 2021-06-24

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