Results 181 to 190 of about 11,209 (203)

Texture Analysis for Enhanced Color Image Quantization

Graphical Models and Image Processing, 1997
A traditional problem with color image quantization techniques is their inability to handle smooth variations in intensity and chromaticity, leading to contours in the quantized image. To address this problem, this paper describes new techniques for augmenting the performance of a seminal color image quantization algorithm, the median-cut quantizer ...
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Enhancement of Color Image Retrieval Capabilities: Fusion of Color with Texture Optimization

2011 International Conference on Communication Systems and Network Technologies, 2011
Challenge in content based color image retrieval system lies in assigning synthetic descriptor to the image features which are economic in terms of memory required and time taken to compare query image features with features of image from database. Texture is a very important features of an image. Lots of mathematical model have been presented earlier,
Md. S.A. Khan, M.A. Ansari, Javed Miya
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Findings of collagenous colitis with minimal endoscopic changes using texture and color enhancement imaging

Digestive Endoscopy, 2022
Watch a video of this article.
Yohei Koyama, Kumiko Uchida, Masakatsu Fukuzawa   +2 more
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Analysis of Texture and Color Enhancement Imaging for Improving the Visibility of Non-polypoid Colorectal Lesions

Digestive Diseases and Sciences, 2022
An endoscopic system using 5-color light-emitting diodes (LEDs) (EVIS X1; Olympus Co., Tokyo, Japan), which includes texture and color enhancement imaging (TXI), has been released. In this study, we analyzed the effects of TXI on the visibility of non-polypoid colorectal lesions and its diagnostic accuracy.We reviewed 101 non-polypoid lesions from 26 ...
Naohisa Yoshida, Ken Inoue, Osamu Dohi, Reo Kobayashi, Yuri Tomita, Hikaru Hashimoto, Satoshi Sugino, Ryohei Hirose, Takaaki Murakami, Yutaka Inada, Yukiko Morinaga, Yoshito Itoh   +11 more
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Automatic nuclei and cytoplasm segmentation of leukocytes with color and texture-based image enhancement

2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 2016
Designing a single automatic and accurate segmentation approach for different classes of white blood cells is a challenging task. This paper presents a fully automated segmentation framework to segment both nuclei and cytoplasm of five major classes of white blood cells in the peripheral blood smears based on color and texture enhancement. Particularly,
Afaf Tareef, Yang Song 0001, Tom Weidong Cai, Yue Wang 0021, David Dagan Feng, Mei Chen   +5 more
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Color Patterns And Enhanced Texture Learning For Detecting Computer-Generated Images

The Computer Journal
Abstract Detection of computer-generated (CG) images can reveal the authenticity and originality of digital images. However, recent cutting-edge image generation methods make it very difficult to distinguish CG images from natural photographs. In this paper, a novel method based on color patterns and enhanced texture learning is proposed
Qiang Xu 0007, Dongmei Xu, Hao Wang 0247, Jianye Yuan, Zhe Wang 0035   +4 more
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The application of texture- and color-enhanced imaging for endoscopic submucosal dissection

Gastrointestinal Endoscopy, 2023
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Color Texture Enhancement Scheme for Retinal Images

Journal of Medical Imaging and Health Informatics, 2017
Shi-Ru Zhang, Ming-Jen Chang, Ya-Jing Chaung, Shyr-Shen Yu   +3 more
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USEFULNESS OF TEXTURE AND COLOR ENHANCEMENT IMAGING FOR DETECTION OF COLORECTAL NEOPLASMS.

Gastrointestinal Endoscopy, 2022
Maasa Sasabe, Hiroaki Ikematsu, Taku Sakamoto, Naoto Tamai, Naoya Toyoshima, Yasuhiko Mizuguchi, Kensuke Shinmura, Tatsuro Murano, Kazuki Sumiyama, Hiroto Furuhashi, Toshiki Futakuchi, Yutaka Saito   +11 more
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Enhanced Content Based Image Retrieval Using Integrated Color and Texture Features

International Journal on Science and Technology
Content-Based Image Retrieval (CBIR) has emerged as a crucial technique for collecting images from large databases based on their visual content, such as color, texture and shape. This paper introduces an enhanced CBIR system that combines color and texture features to enhance retrieval accuracy and performance.
Ranjeet Kumar -, Dr. Narasimha Murthy M S -   +1 more
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