Results 281 to 290 of about 483,454 (329)
Some of the next articles are maybe not open access.
Histogram Based Bacteria Colony Features Analysis
Key Engineering Materials, 2014Features analysis is an important task which can significantly affect the performance of automatic bacteria colony picking. This paper presents a novel approach for adaptive colony segmentation by classifying the detected peaks of intensity histograms of images.
Kun Zhang, Min Rui Fei
openaire +1 more source
Recognizing image splicing forgeries using histogram features
2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 2016Today digital images have possessed the position of the first simple analog photographs. The forgery of such images has turned out to be logically non-identifiable to the naked eyes and it is simple to do with the assistance of innovation of digital technology. Image splicing is a frequently utilized technique among the various kinds of image forgeries.
D. Vaishnavi, T. S. Subashini
openaire +1 more source
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
A histogram is an effective form for extracting various types of features and has been attracting keen attention in pattern recognition fields. In visual recognition, however, the histogram features suffer from smoothing due to the processes of quantizing continuous input patterns into discrete codes and pooling them.
openaire +1 more source
A histogram is an effective form for extracting various types of features and has been attracting keen attention in pattern recognition fields. In visual recognition, however, the histogram features suffer from smoothing due to the processes of quantizing continuous input patterns into discrete codes and pooling them.
openaire +1 more source
Similar Region Recommendation Based on Histogram Features
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020When studying landslide hazards and designing road routes, by referring to the research results of regions with similar terrain, the research work can be carried out quickly. The theme of this paper is to recommend several regions with similar terrain for a research region, and the research contents are summarized as follows: first of all, histogram ...
Qiankun Liu +4 more
openaire +1 more source
Reliable histogram features for detecting LSB matching
2010 IEEE International Conference on Image Processing, 2010This paper proposes a novel steganalyzer for detecting one of the most popular steganography, LSB matching (also known as “±1 embedding”). The histogram of difference image (the differences of adjacent pixels), which is usually a generalized Gaussian distribution centered at 0, is exploited for deriving statistical features.
Kaiwei Cai +4 more
openaire +1 more source
Square texton histogram features for image retrieval
Multimedia Tools and Applications, 2018A new image feature descriptor for content-based image retrieval is proposed, named as Square Texton Histogram (STH). STH is derived based on the correlation between texture orientation and color information. Based on julesz’s texton theory ‘Square Texton’ templates are proposed for Image texture analysis.
Ahmad Raza +3 more
openaire +1 more source
3D Texture Recognition Using Bidirectional Feature Histograms
International Journal of Computer Vision, 2004Textured surfaces are an inherent constituent of the natural surroundings, therefore efficient real-world applications of computer vision algorithms require precise surface descriptors. Often textured surfaces present not only variations of color or reflectance, but also local height variations. This type of surface is referred to as a 3D texture.
Oana G. Cula, Kristin J. Dana
openaire +1 more source
Histogram ratio features for color texture classification
Pattern Recognition Letters, 2003This paper presents a color texture classification method using ratio features extracted from the color histogram. Combining pairs of bins and computing corresponding count ratios, ratio features are created that characterize the given color texture in an auto-correlative sense.
George Paschos, Maria Petrou
openaire +1 more source
Compressive tracking with locality sensitive histograms features
2017 IEEE International Conference on Robotics and Automation (ICRA), 2017Currently, Compressive Tracking (CT) method has drawn great attention because of its high efficiency. However, it cannot well deal with some appearance variations due to its limitations of feature expression and it only uses a fixed parameter to update the appearance model. In order to handle such matters, we propose an adaptive CT method that combines
Sixian Chan +3 more
openaire +1 more source
Fast Colored Point Feature Histograms Global Registration
Volume 1: Advances in Aerospace Technology, 2019Abstract We present an algorithm for fast global registration on colored dense point clouds. We combine CIELAB color information with fast point feature histograms for better correspondence and use color difference score to delete wrong pairs.
Ken Chen +3 more
openaire +1 more source