Author : Aakriti Soni, Nipun Pandey and Pallavi Halarnkar

Image is a set of objects and extracting these object components from image has been a continuous area of research since very long time. In image object extraction the main emphasis is on extracting each or focused objects from the image. Image object extraction techniques first detect the objects in images and in second step extract the detected objects from the original image. The object extraction techniques commonly use methods like edge detection, segmentation and background subtraction to name a few. With the advancements of research in various other fields of science and technology over the period of time, these techniques have found their application in many different areas i.e. Medical disease detection, satellite object extraction, image retrieval, objects recognition etc. This paper gives brief introduction to the image object extraction, discusses general method for image object extraction and provides detailed discussion on continual advancements and researches in the area of Image object extraction including the comparative study on the proposed techniques.

Keywords: Object extraction, segmentation, classification, seed pixels, colour model, edge detection.

Article published in International Journal of Current  Engineering  and Technology, Vol.4,No.2 (April- 2014)