Ilastik: Interactive learning and segmentation toolkit
Segmentation is the process of partitioning digital images into meaningful regions. The
analysis of biological high content images often requires segmentation as a first step. We …
analysis of biological high content images often requires segmentation as a first step. We …
[BUCH][B] Machine vision: Automated visual inspection: Theory, practice and applications
The book offers a thorough introduction to machine vision. It is organized in two parts. The
first part covers the image acquisition, which is the crucial component of most automated …
first part covers the image acquisition, which is the crucial component of most automated …
Discriminative illumination: Per-pixel classification of raw materials based on optimal projections of spectral BRDF
Classifying raw, unpainted materials--metal, plastic, ceramic, fabric, and so on--is an
important yet challenging task for computer vision. Previous works measure subsets of …
important yet challenging task for computer vision. Previous works measure subsets of …
Foreign object debris material recognition based on convolutional neural networks
H Xu, Z Han, S Feng, H Zhou, Y Fang - EURASIP Journal on Image and …, 2018 - Springer
The material attributes of foreign object debris (FOD) are the most crucial factors to
understand the level of damage sustained by an aircraft. However, the prevalent FOD …
understand the level of damage sustained by an aircraft. However, the prevalent FOD …
Foreign object debris (fod) classification through material recognition using deep convolutional neural network with focus on metal
Foreign object debris (FOD) is any undesired and unintended object placed or found in the
specific vicinity of an aircraft (runway/taxiway) that can cause damage to aircraft or harm …
specific vicinity of an aircraft (runway/taxiway) that can cause damage to aircraft or harm …
Surface material perception through multimodal learning
Accurately perceiving object surface material is critical for scene understanding and robotic
manipulation. However, it is ill-posed because the imaging process entangles material …
manipulation. However, it is ill-posed because the imaging process entangles material …
Teaching cameras to feel: Estimating tactile physical properties of surfaces from images
The connection between visual input and tactile sensing is critical for object manipulation
tasks such as gras** and pushing. In this work, we introduce the challenging task of …
tasks such as gras** and pushing. In this work, we introduce the challenging task of …
Learning discriminative illumination and filters for raw material classification with optimal projections of bidirectional texture functions
We present a computational imaging method for raw material classification using features of
Bidirectional Texture Functions (BTF). Texture is an intrinsic feature for many materials, such …
Bidirectional Texture Functions (BTF). Texture is an intrinsic feature for many materials, such …
Image capturing, segmentation and data analysis of shredded refuse streams
Refuse sorting is an important cornerstone of the recycling industry, but ever-changing
refuse compositions and the desire to increase recycling rates still pose many unsolved …
refuse compositions and the desire to increase recycling rates still pose many unsolved …
Material classification
Material classification of an object is provided. Parameters for classification are accessed.
The parameters include a selection to select a subset of angles for classification, a selection …
The parameters include a selection to select a subset of angles for classification, a selection …