Abstract
Manually counting for vaname shrimp fry has some weaknesses, such as subjectivity in counting, time payload, exhausted in counting and inadequate accuracy especially in calculate large quantities of shrimp fry. Considering that condition, therefore a fast and good accuracy method in shrimp fry counting is needed. The purposes of this study are to develop a method in vaname shrimp fry counting through image processing by using, also determine the value of parameters which is needed in creating a machine to count shrimp fry automatically based on CCD camera. Images taken using CCD camera with backlight system. Image processing processes are consist of image cutting, thresholding, dilation and labelling. Accuracy value of shrimp fry counting using image processing program is 98.49%. The average time of shrimp fry counting using image processing program is 1.70 second/image with standard deviation is 0.15 seconds.
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