A Study on the Development of Multiple Objects Extraction System Using Difference Image Edge Information
نویسندگان
چکیده
This paper proposes a method of extracting motion information of a single movement object and plurality of movement objects. After area segmentation is performed using a difference image between neighboring images, a clear outline of an object and a loss part are restored by using edge information and a boosting factor according to adjustment corresponding to a change of an input image. Whether the object is a person or a thing is determined by extracting width, height, and size information using the restored object area and setting a size of the object based on the extracted information. To obtain correct information of the object, the object is finally extracted by analyzing a shadow area of the object generated through the full process and removing the shadow. The proposed system efficiently extracts objects of various images.
منابع مشابه
On Analytical Study of Self-Affine Maps
Self-affine maps were successfully used for edge detection, image segmentation, and contour extraction. They belong to the general category of patch-based methods. Particularly, each self-affine map is defined by one pair of patches in the image domain. By minimizing the difference between these patches, the optimal translation vector of the self-affine map is obtained. Almost all image process...
متن کاملObject-Oriented Method for Automatic Extraction of Road from High Resolution Satellite Images
As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...
متن کاملContours Extraction Using Line Detection and Zernike Moment
Most of the contour detection methods suffers from some drawbacks such as noise, occlusion of objects, shifting, scaling and rotation of objects in image which they suppress the recognition accuracy. To solve the problem, this paper utilizes Zernike Moment (ZM) and Pseudo Zernike Moment (PZM) to extract object contour features in all situations such as rotation, scaling and shifting of object i...
متن کاملDetection of Coastline Using Satellite Image-Processing Technique
Extended abstract 1- Introduction Coasts maintain their natural sustainability without human intervention and in spite of short-term changes, we are ultimately confronted with a coastal healthy environment, i.e. natural, rocky beaches, sandy beaches and so on. Today's use of remote sensing in most natural sciences is widespread. Due to the fact that fieldwork is costly and time-consuming, ...
متن کاملSegmentation Improvement of High Resolution Remote Sensing Images based on superpixels using Edge-based SLIC algorithm (E-SLIC)
The segmentation of high resolution remote sensing images is one of the most important analyses that play a significant role in the maximal and exact extraction of information. There are different types of segmentation methods among which using superpixels is one of the most important ones. Several methods have been proposed for extracting superpixels. Among the most successful ones, we can r...
متن کامل