Automatic Parameter Tuning for Adaptive Thresholding in Fruit Detection
نویسندگان
چکیده
منابع مشابه
Adaptive Thresholding in Marine RADARs
In order to detect targets upon sea surface or near it, marine radars should be capable of distinguishing signals of target reflections from the sea clutter. Our proposed method in this paper relates to detection of dissimilar marine targets in an inhomogeneous environment with clutter and non-stationary noises, and is based on adaptive thresholding determination methods. The variance and t...
متن کاملAutomatic Thresholding For Correspondence Detection
We study the problem of thresholding the residual of template matching as a preprocess for selecting the correct matches between feature points in two images. In order to determine the threshold dynamically, we introduce a statistical model of the residual and compute an optimal threshold according to that model. The model parameters are estimated from the histogram of the residuals of candidat...
متن کاملLearning Adaptive Parameter Tuning for Image Processing
The non-stationary nature of image characteristics calls for adaptive processing, based on the local image content. We propose a simple and flexible method to learn local tuning of parameters in adaptive image processing: we extract simple local features from an image and learn the relation between these features and the optimal filtering parameters. Learning is performed by optimizing a user d...
متن کاملAdaptive Thresholding for HF Radar Ship Detection
High frequency (HF) radars are capable to detect and track targets at extremely long ranges. But the signal environment that includes external noise, different kinds of clutter and interference will significantly limit the detection and system capability. This paper considers a new approach to solve the ship detection problem in a complex HF radar signal environment. It uses detection procedure...
متن کاملAdaptive Parameter Selection for Block Wavelet-Thresholding Deconvolution
In this paper, we propose a data-driven block thresholding procedure for waveletbased non-blind deconvolution. The approach consists in appropriately writing the problem in the wavelet domain and then selecting both the block size and threshold parameter at each resolution level by minimizing Stein’s unbiased risk estimate. The resulting algorithm is simple to implement and fast. Numerical illu...
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: Sensors
سال: 2019
ISSN: 1424-8220
DOI: 10.3390/s19092130