A Review on Image Processing Techniques for Fisheries Application

Abstract

Abstract Nowadays, the image processing technique has been used widely in the fields of science and technology. The use of the image processing technique is to improve the manual approach process to achieve accurate results. Since the manual approach shows, its time processing can be laborious to analyses extensive data and require a skilful researcher to experiment. The use of image processing technique can support to reduce several drawbacks. Therefore, many researchers prefer an alternative solution such as an automated or semiautomated system-based image to enhance the manual approach task. The image processing technology provides a variety of algorithms that modified according to the desired study is the reason why the image processing technique is desirable. Low-level processing is the early stage of image processing techniques and the steps involved are image acquisition, noise removal, image sharpening, image smoothing, image blurring, etc. Meanwhile for the Midlevel processing, adopt the use of several image processing techniques such as image segmentation, object detection, object recognition, feature extraction and classification. Therefore, image processing provides numerous applications such as in agriculture, medical image processing, ocean monitoring and conservation, facial recognition, fisheries, etc. In this paper, the uses of image processing techniques are discussed in briefly on the application of fishery study.