Papers with Code 아카이브
Texture Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
Texture Classification is a fundamental issue in computer vision and image processing, playing a significant role in many applications such as medical image analysis, remote sensing, object recognition, document analysis, environment modeling, content-based image retrieval and many more.
Source: Improving Texture Categorization with Biologically Inspired Filtering
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Texture analysis using deterministic partially self-avoiding walk with thresholds
Evaluating Urbanization from Satellite and Aerial Images by means of a statistical approach to the texture analysis
Document Image Coding and Clustering for Script Discrimination
A probabilistic patch based image representation using Conditional Random Field model for image classification
A Theoretical Analysis of Deep Neural Networks for Texture Classification
Learning rotation invariant convolutional filters for texture classification
Fractal Dimension Invariant Filtering and Its CNN-based Implementation
A non-extensive entropy feature and its application to texture classification
Quantification of Ultrasonic Texture heterogeneity via Volumetric Stochastic Modeling for Tissue Characterization
Using Filter Banks in Convolutional Neural Networks for Texture Classification
Combined statistical and model based texture features for improved image classification
Graph entropies in texture segmentation of images
Assessment of texture measures susceptibility to noise in conventional and contrast enhanced computed tomography lung tumour images
face anti-spoofing based on color texture analysis
Visualizing and Understanding Deep Texture Representations
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs
BoWFire: Detection of Fire in Still Images by Integrating Pixel Color and Texture Analysis
A PCA-Based Convolutional Network
Sparse Radial Sampling LBP for Writer Identification
LOAD: Local Orientation Adaptive Descriptor for Texture and Material Classification
Texture Retrieval via the Scattering Transform
Improved texture image classification through the use of a corrosion-inspired cellular automaton
Texture analysis by multi-resolution fractal descriptors
Texture analysis using volume-radius fractal dimension
Fractal descriptors based on the probability dimension: a texture analysis and classification approach
Gabor wavelets combined with volumetric fractal dimension applied to texture analysis
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices
Amoeba Techniques for Shape and Texture Analysis
Neighborhood Rank Order Coding for Robust Texture Analysis and Feature Extraction
Performance evaluation of wavelet scattering network in image texture classification in various color spaces
Adaptive texture energy measure method
Improving weather radar by fusion and classification
Texture Based Image Segmentation of Chili Pepper X-Ray Images Using Gabor Filter
PCANet: A Simple Deep Learning Baseline for Image Classification?
Block Motion Based Dynamic Texture Analysis: A Review
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.