Image Processing
IMAGE PROCESSING – IDENTIFCATION OF DEAD CHICKEN TO PREVENT DISEASE
G.YUVARAJ,
Ph: 9159970702
SRI SAKTHI INSTITUTE OF ENGINEERING AND TECHNOLOGY,
COIMBATORE-641062
Email:yuvarajdoit@gmail.com
ABSTRACT:
Our paper tries to completely automate the poultry process by continuously monitoring the chickens in the poultry and by the application of image processing, identify the dead chicken using a camera and inform the appropriate person so that the dead chicken can be removed from the corresponding cabin. The chickens will be monitored in each cabin with a regular time interval. In the initial phase the background image of the cabin is stored as the reference and after say 15 minutes another image is taken and stored. The difference image is calculated for each image by the application of image subtraction. For this we employ any of the following two algorithms:
1. Two dimensional cross correlation algorithm 2. Sum of absolute difference (SAD) algorithm If there is a constant variation in the sum of pixels calculated even after 2 or 3 comparisons, then the particular cabin is said to contain a dead chicken. Considering this practical problem a solution using digital image processing is suggested. A system is developed such that the sick or the dead chicken is identified by an image processing system. The image processing tool box and image acquisition toolbox of MATLAB 7.0 are used to check motion detection in the poultry. Two algorithms that are used for motion detection are 2-D cross correlation and sum of absolute difference algorithm. A paper was designed and developed to identify the dead chicken in the poultry using a webcam, which will be connected to the Universal Serial Bus
OVERVIEW
Our paper covers the following topics:
Introduction to digital image processing
Introduction to image processing in MATLAB 7.0
Steps to be followed for
G.YUVARAJ,
Ph: 9159970702
SRI SAKTHI INSTITUTE OF ENGINEERING AND TECHNOLOGY,
COIMBATORE-641062
Email:yuvarajdoit@gmail.com
ABSTRACT:
Our paper tries to completely automate the poultry process by continuously monitoring the chickens in the poultry and by the application of image processing, identify the dead chicken using a camera and inform the appropriate person so that the dead chicken can be removed from the corresponding cabin. The chickens will be monitored in each cabin with a regular time interval. In the initial phase the background image of the cabin is stored as the reference and after say 15 minutes another image is taken and stored. The difference image is calculated for each image by the application of image subtraction. For this we employ any of the following two algorithms:
1. Two dimensional cross correlation algorithm 2. Sum of absolute difference (SAD) algorithm If there is a constant variation in the sum of pixels calculated even after 2 or 3 comparisons, then the particular cabin is said to contain a dead chicken. Considering this practical problem a solution using digital image processing is suggested. A system is developed such that the sick or the dead chicken is identified by an image processing system. The image processing tool box and image acquisition toolbox of MATLAB 7.0 are used to check motion detection in the poultry. Two algorithms that are used for motion detection are 2-D cross correlation and sum of absolute difference algorithm. A paper was designed and developed to identify the dead chicken in the poultry using a webcam, which will be connected to the Universal Serial Bus
OVERVIEW
Our paper covers the following topics:
Introduction to digital image processing
Introduction to image processing in MATLAB 7.0
Steps to be followed for