Multi-Scale Fish Segmentation Refinement and Missing Shape Recovery
نویسندگان
چکیده
منابع مشابه
Remote Sensed Images Segmentation through Shape Refinement
A novel approach to the automatic classiJcation of remote sensed images is proposed. This approach is based on a three-phase procedure: first pixels which belong to the areas of interest with large likelihood are selected as seeds; second the seeds are refined into connected shapes using two well known image processing techniques; third the results of the shape refinement algorithms are merged ...
متن کاملMulti-objective shape segmentation
The users of shape segmentation algorithms possess a wealth of knowledge about the objects they wish to segment. Current automatic segmentation approaches, however, apply a fixed objective uniformly to all parts and limit their input to the number of segments desired and a small set of parameter values. In this paper, we propose the concept of multi-objective shape segmentation. This model allo...
متن کاملMulti - Scale Active Shape
A multi-scale shape description tool based on active contour models has been developed, allowing to regularize and describe shape changes across scales. The internal energy of this spline-based model depends on analytic shape forces, and the external energy incorporates geometric image features like the image gradient and isophote curvature. Results of applying this technique to artiicial image...
متن کاملMulti-scale Hierarchical Segmentation
In the absence of a priori information on scales of interest vision systems should initially process in a scale invariant manner. The fact that any signal can only be sampled discretely further constrains the initial processing. The paper argues that a representation satisfying these requirements is an hierarchical segmentation of scalespace. An algorithm is presented to compute such representa...
متن کاملUnsupervised image segmentation evaluation and refinement using a multi-scale approach
In this study, a multi-scale approach is used to improve the segmentation of a high spatial resolution (30 cm) color infrared image of a residential area. First, a series of 25 image segmentations are performed in Definiens Professional 5 using different scale parameters. The optimal image segmentation is identified using an unsupervised evaluation method of segmentation quality that takes into...
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: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2912612