Results 91 to 100 of about 6,422 (208)
Hierarchical superpixel-to-pixel dense image matching [PDF]
, 2017 In this paper, we propose a novel matching method to establish dense correspondences automatically between two images in a hierarchical superpixel-to-pixel (HSP2P) manner. Our method first estimates dense superpixel pairings between the two images in the
Shao, Ling +2 more
core +1 more source
Proceedings of the 10th International Conference on Computer Vision Theory and Applications, 2015 Superpixel segmentation is widely used in the preprocessing step of many applications. Most of existing methods are based on a photometric criterion combined to the position of the pixels. In the same way as the Simple Linear Iterative Clustering (SLIC) method, based on k-means segmentation, a new algorithm is introduced.
Marie-Anne Bauda +3 more
openaire +3 more sources
Jurnal Elkomika, 2020 ABSTRAK Salah satu bagian dalam algoritma pemrosesan citra adalah proses segmentasi yang menjadi tahap pra-pemrosesan untuk ekstraksi fitur objek. Superpixel menjadi salah satu solusi pada proses segmentasi dengan mendefenisikan kumpulan piksel yang ...
MUHAMMAD KHAERUL NAIM MURSALIM +1 more
doaj +1 more source
Advancing Photonic Inverse Design with Interpretable Machine Learning
Advanced Photonics Research, Volume 7, Issue 5, May 2026.The work applies the interpretable machine learning technique called LIME (local interpretable model‐agnostic explanations) to the inverse design of photonic chips, revealing hidden optimization patterns and guiding better starting designs. Using insights from LIME improves performance of two‐mode multiplexers, showing interpretable methods can ...
Lirandë Pira +5 more
wiley +1 more source
Superpixel image segmentation.
, 2018 (a) original image. (b) result of superpixel segmentation.
Guan Yang (520726) +4 more
core +1 more source
JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2017 Text detection in natural image is something to do before performing character recognition. The process of text detection plays an important role in the acquisition of information in an image.
Yohannes Yohannes
doaj +1 more source
Diagram of superpixel feature extraction.
, 2015 Diagram of superpixel feature extraction.
Menglong Xu (739238) +5 more
core +1 more source
Superpixel-based class-semantic texton occurrences for natural roadside vegetation segmentation
, 2017 Vegetation segmentation from roadside data is a field that has received relatively little attention in present studies, but can be of great potentials in a wide range of real-world applications, such as road safety assessment and vegetation condition ...
Ligang Zhang +5 more
core +1 more source
Robust Shape Regularity Criteria for Superpixel Evaluation
, 2017 International audienceRegular decompositions are necessary for most superpixel-based object recognition or tracking applications. So far in the literature, the regularity or compactness of a superpixel shape is mainly measured by its circularity. In this
GIRAUD, Rémi +2 more
core +3 more sources
TurboPixels: A Superpixel Segmentation Algorithm Suitable for Real-Time Embedded Applications
Applied SciencesSuperpixel segmentation aims to produce a consistent grouping of pixels. In recent years, the importance of superpixel segmentation has increased in computer vision since it offers useful primitives for extracting image features and simplifies the ...
Abiel Aguilar-González +5 more
doaj +1 more source