Multi-Modal Ship Target Image Smoothing Based on Adaptive Mean Shift
نویسندگان
چکیده
منابع مشابه
Kernel Bandwidth Adaptive Target Tracking Algorithm Based on Mean - Shift
The kernel bandwidth of the classical Mean-Shift tracking algorithm is fixed, and it usually results in tracking failure when the target’s size changes. A kernel bandwidth adaptive Mean-Shift tracking algorithm is presented with frame difference method to solve the question in this paper. According to the targets’ size obtained from the inter-frame difference method, the bandwidth matrix of ker...
متن کاملAdaptive Mean Shift for Skin Image Segmentation
The mean-shift clustering is an efficient technique for color image segmentation by dividing an image into homogeneous regions. The main drawback of mean-shift clustering is to use a fixed scale, which directly determines to use a fixed homogeneity. Since each region could have different homogeneity, using a fixed scale has a problem to segment well. To resolve this problem, we incorporate mult...
متن کاملA New Target Tracking Scheme Based on Improved Mean Shift and Adaptive Kalman Filter
In this paper, a target tracking algorithm is proposed by combining the improved Mean Shift algorithm with the adaptive Kalman filter. For a selected moving object, frame difference and region growing methods are used to segment target and extract the dominant color. In the tracking process, the initial iterative position is obtained by adaptive Kalman filter in each frame. The tracking result ...
متن کاملEdge Detection using Mean Shift Smoothing
Edges characterize boundaries, which define the important structural properties of an image. Therefore edge detection is a problem of fundamental importance in image processing; many tasks in image processing, to be performed successfully, depend on a reliable edge detection mechanism. Edges in images are areas with strong intensity contrasts – a jump in intensity from one pixel to its neighbor...
متن کاملColour image segmentation using adaptive mean shift filters
A novel adaptive mean shift filter is'proposed for unsupervised color image segmentation. Segmentation is obtained by iteratively estimating local clusters and modifying (filtering) pixels along the steepest ascent towards their nearest clusters using local data fimn randomly partitioned image, followed by a simple post processing. Several new steps are introduced to avoid pixels drifting towar...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2018
ISSN: 2169-3536
DOI: 10.1109/access.2018.2794141