Problem statement: Many approaches have been proposed in previous such as the classic sequential connected components labeling algorithm which is relies on two subsequent raster-scans of a binary image. This method produced good performance in terms of accuracy, but because of the implementation of the image processing systems now requires faster process of the computer, the speed of this techniques process has become an important issue. Approach: A computational approach, called components neighbors-scan labeling algorithm for connected component labeling was presented in this study. This algorithm required scanning through an image only once to label connected components. The algorithm started by scanning from the head of the components group, before tracing all the components neighbors by using the main components information. This algorithm had desirable characteristics, it is simple while promoted accuracy and low time consuming. By using a table of components, this approach also gave other advantages as the information for the next higher process. Results: The approach had been tested with a collection of binary images. In practically all cases, the technique had successfully given the desired result. Averagely, from the results the algorithm increased the speed around 67.4% from the two times scanning method. Conclusion: Conclusion from the comparison with the previous method, the approach of components neighbors-scan for connected component labeling promoted speed, accuracy and simplicity. The results showed that the approach has a good performance in terms of accuracy, the time consumed and the simplicity of the algorithm
Fish reproduction, recruitment, growth and mortality normally measured using fish length method for identifying the fish species population. Normally researchers in Malaysia buy the fish and measured length of fish one by one using simple fish measuring board made out of hardwood or acrylic plastic. This current method took longest time and very costly. In this paper, the researcher used different types of digital camera as digital images input data for identifying length of fish and using Hsiu's Method for analysis. Result of this experiment will be proposed to user in selecting the best camera as input device for measuring length of fish.
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