Results 1 to 10 of about 8,058,581 (353)
Deep Learning for Live Cell Shape Detection and Automated AFM Navigation. [PDF]
Bioengineering (Basel), 2022 Atomic force microscopy (AFM) provides a platform for high-resolution topographical imaging and the mechanical characterization of a wide range of samples, including live cells, proteins, and other biomolecules.
Rade J +5 more
europepmc +2 more sources
A Hierarchical Approach for Traffic Sign Recognition Based on Shape Detection and Image Classification. [PDF]
Sensors (Basel), 2022 In recent years, the development of self-driving cars and their inclusion in our daily life has rapidly transformed from an idea into a reality. One of the main issues that autonomous vehicles must face is the problem of traffic sign detection and ...
Lu EH +3 more
europepmc +2 more sources
Rapid shape detection signals in area V4 [PDF]
Frontiers in Neuroscience, 2014 Vision in foveate animals is an active process that requires rapid and constant decision-making. For example, when a new object appears in the visual field, we can quickly decide to inspect it by directing our eyes to the object's location.
Katherine F Weiner, Geoffrey Mohon Ghose
doaj +2 more sources
Surface Shape Detection with a Single Far-Field Intensity by Combined Amplitude and Phase Retrieval
International Journal of Antennas and Propagation, 2019 The efficiency of a reflector antenna highly depends on its surface shape. In order to ensure a good convergence, the conventional phase retrieval based shape detection schemes require that several far-field intensities be scanned, focused, or defocused.
Huiliang Jin +5 more
doaj +2 more sources
Planar Shape Detection at Structural Scales [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Interpreting 3D data such as point clouds or surface meshes depends heavily on the scale of observation. Yet, existing algorithms for shape detection rely on trial-and-error parameter tunings to output configurations representative of a structural scale. We present a framework to automatically extract a set of representations that capture the shape and
Fang, Hao +2 more
openaire +4 more sources
Potato Size and Shape Detection Using Machine Vision
MATEC Web of Conferences, 2015 To reduce the error and faster classification by mechanizing in classifying the potato shape and size through machine vision using the extraction of characters procedure to identify the size, and using the shape detection procedure to identify the shape.
Liao Guiping +3 more
doaj +2 more sources
Line-Constrained Shape Feature for Building Change Detection in VHR Remote Sensing Imagery
ISPRS International Journal of Geo-Information, 2018 Buildings represent the most relevant features of human activity in urban regions, but their change detection using very-high-resolution (VHR) remote sensing imagery is still a major challenge. Effective representation of the building is the key point in
Haifei Liu +4 more
doaj +3 more sources
IEEE Access, 2022 A binary time series can be transformed into a Branch Length Similarity (BLS) entropy profile by being mapped to a circumference called a time-circle. In this study, we explored how peaks and cliffs are formed and how they relate to time series.
Sang-Hee Lee, Cheol-Min Park
doaj +1 more source
Towards a Machine Vision-Based Yield Monitor for the Counting and Quality Mapping of Shallots
Frontiers in Robotics and AI, 2021 In comparison to field crops such as cereals, cotton, hay and grain, specialty crops often require more resources, are usually more sensitive to sudden changes in growth conditions and are known to produce higher value products.
Amanda A. Boatswain Jacques +5 more
doaj +1 more source
Measure transparent elements using least squares iterative phase shift method
Dianzi Jishu Yingyong, 2021 In order to measure the surface phase of the front and back of the transparent plate more accurately, a phase shift algorithm based on least squares iteration is proposed.
Li Jingwei +3 more
doaj +1 more source