Abstract
Detection of objects in an image 2 dimensional is a process which is quite complex to do. Object detection required a computer vision approach to the desired part of the object can be recognizable computer accurately. The method in this research using waterfall method. This research will describe the application of color segmentation method with the color detection of a digital image to produce image segment object in the form of blob so that the computer can be detected. The object detection process will process the resulting color segment by the process of segmentation so that can know the number of detected objects, the area and the center of the object. This application can take pictures with laptop or notebook webcam. The result of color segmentation based on color detection is strongly influenced by color samples and color tolerance values to which the segmentation process is based. Lighting, location, texture, and contour of objects or background image will greatly affect the results of segmentation and object detection.
Highlights
Development of the computer vision system has been widely utilized in helping humans in the process of introduction or detection of objects
Saputra / VOLT: Jurnal Ilmiah Pendidikan Teknik Elektro 2 (2) (2017) 157–166 accurate, a separation process is known as the consists of 3 elements namely the Hue segmentation process
Process of object detection and visualisation and programming in an easy to automated calculation of objects is done by use device which problems and resolution can using the BlobCounter class in the Aforge.net be expressed with mathematical notation is library, with minimal-sized blob filter condition familiar
Summary
Development of the computer vision system has been widely utilized in helping humans in the process of introduction or detection of objects. Calculation of the blob based on image of reference color X with T tolerance and on the processing library based on size. Process filter object the value of tolerance hue will affect the will select blob that will be processed based on value of the color that is selected in the the height and the width. Process of object detection and visualisation and programming in an easy to automated calculation of objects is done by use device which problems and resolution can using the BlobCounter class in the Aforge.net be expressed with mathematical notation is library, with minimal-sized blob filter condition familiar. The area is detected on one of the objects in an the default as shown in Figure 11 you can image is affected by the value of reference change according to needs such as resize, shift resulting from the processing of color samples and close the tools. On testing the detection area is one of the objects in the objects of analysis process used
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