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AUTOMATIC RECOGNITION OF INDIAN PRAWN SPECIES
AUTOMATIC RECOGNITION OF INDIAN PRAWN SPECIES
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机译：印度对虾物种的自动识别
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摘要
The present invention relates to an automatic prawn species recognition system by novel pattern recognition technique to identify prawn species. The technique is based on a combination between robust feature selection, image segmentation and geometrical parameter techniques. The system comprises of following modules based on digital Image Processing Techniques and Neural Networks technique. The system involves firstly harvesting prawns from fields with different sizes of adult prawn and fedding through a computer vision system in any orientation on a conveyor belt. Secondly capturing image of input prawn in which back ground should be pure white for easy pre-processing of the image. Thirdly image pre-processing of the captured image which comprising of resizing, converting into gray scale images, removing of noise, normalization for the noise removal image, and extracting object from white background. Fourthly image segmentation by segmenting the extracted object into individual blocks and extracting necessary segment blocks. Fifthly features extraction from the segment blocks by block merging based on feature vectors and matching with histogram based comparison stored in an existing database for feature training. Finally classification of prawn images from the extracted features using Neural Networks built by taking the features from existing database.
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