PATTERN RECOGNITION APPROACH FOR FISH MASK SEGMENTATION AND DETECTION FROM VIDEO
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Abstract
In modern days marine engineering has a dedicated field for fishery monitoring and detection. The most challenging and demanding area for tracking the live fishes under water, where the capturing of images is done in the form of videos but in existing scenario a still image is used to study the features which is a difficult task to overcome this the proposed system is designed and simulated under MATLAB environment for fish region masking and detection to understand and analyze the monitoring study. Here we propose density wise fish area masking and segmentation using video processing for the extraction of appropriate region and analyze the fish.
The major objective of the system is to analyze and understand the importance of region segmentation and extraction under constant monitoring of marine objects. The proposed system targets easy monitoring of fishery services and oceanography study in frame or static image analysis. The system is simulated in such a way that we can obtain the results which reduce the complexity and manual which is a boon for the oceanographic studies.
The major objective of the system is to analyze and understand the importance of region segmentation and extraction under constant monitoring of marine objects. The proposed system targets easy monitoring of fishery services and oceanography study in frame or static image analysis. The system is simulated in such a way that we can obtain the results which reduce the complexity and manual which is a boon for the oceanographic studies.
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