Location:
Search - textual image
Search list
Description: 计算图像纹理共生矩阵及共生矩阵相关系数、熵等几个特征值，供后续的分类识别应用。提供了友好的操作界面。觉得最好的应用就是用于人脸识别的样本训练。-calculated image texture symbiotic matrix and symbiotic correlation coefficient matrix, some features, such as entropy values for the follow-up to the recognition and classification application. Provide a friendly interface. Think the best applications for the face recognition is a sample of training.
Platform: |
Size: 90736 |
Author: leilin |
Hits:
Description: 关于边缘检测、图像分割matlab源程序，Prewitt算子、LoG算子检测、阈值分割、水线阈值法分割、文字和非文字区分等-on edge detection, image segmentation Matlab source, Prewitt operator, Getting Operator detection, thresholding segmentation, subaqueous threshold method segmentation, textual and non-textual distinction
Platform: |
Size: 41953 |
Author: 杨爱萍 |
Hits:
Description: 计算图像纹理共生矩阵及共生矩阵相关系数、熵等几个特征值，供后续的分类识别应用。提供了友好的操作界面。觉得最好的应用就是用于人脸识别的样本训练。-calculated image texture symbiotic matrix and symbiotic correlation coefficient matrix, some features, such as entropy values for the follow-up to the recognition and classification application. Provide a friendly interface. Think the best applications for the face recognition is a sample of training.
Platform: |
Size: 90112 |
Author: leilin |
Hits:
Description: 关于边缘检测、图像分割matlab源程序，Prewitt算子、LoG算子检测、阈值分割、水线阈值法分割、文字和非文字区分等-on edge detection, image segmentation Matlab source, Prewitt operator, Getting Operator detection, thresholding segmentation, subaqueous threshold method segmentation, textual and non-textual distinction
Platform: |
Size: 41984 |
Author: 杨爱萍 |
Hits:
Description: In this paper, we propose
a hierarchical clustering method using visual, textual and link
analysis. By using a vision-based page segmentation algorithm, a
web page is partitioned into blocks, and the textual and link information
of an image can be accurately extracted from the block containing
that image.-In this paper, we proposea hierarchical clustering method using visual, textual and linkanalysis. By using a vision-based page segmentation algorithm, aweb page is partitioned into blocks, and the textual and link informatio
Platform: |
Size: 974848 |
Author: 郭立 |
Hits:
Description: In web applications developed now days a lot of the logic that previously resided on the server side is now being implemented on the client side. This is especially true for information presentation, components such as trees and columnlist makes it possible for users to interact with the application, or web site if you wish, without contacting the server. However the ability to present data in a graphic rather than textual format has been quite limited, unless a plugin is used or an image is requested from the server.
That s where this component comes in to place, it allows various forms of charts to be created, without any additional plugin, and without using images. -In web applications developed now days a lot of the logic that previously resided on the server side is now being implemented on the client side. This is especially true for information presentation, components such as trees and columnlist makes it possible for users to interact with the application, or web site if you wish, without contacting the server. However the ability to present data in a graphic rather than textual format has been quite limited, unless a plugin is used or an image is requested from the server.
That s where this component comes in to place, it allows various forms of charts to be created, without any additional plugin, and without using images.
Platform: |
Size: 52224 |
Author: phenix |
Hits:
Description: The task of recognizing textual information in the translation of printed and handwritten text into machine code is one of the most important components of projects that aim to automate workflow. However, this problem is one of the most complex and high in the field of automatic image analysis.
Platform: |
Size: 201728 |
Author: vadim |
Hits:
Description: FIRE in ImageCLEF 2005:
Combining Content-Based Image Retrieval with
Textual Information Retrieval
Platform: |
Size: 136192 |
Author: shareef |
Hits:
Description: Due to the reliance on the textual information associated
with an image, image search engines on the Web lack the
discriminative power to deliver visually diverse search results.
Platform: |
Size: 3110912 |
Author: wafaa |
Hits:
Description:
详细介绍
另一个(然而)coda滑块。图像和文本内容。
-Detailed introduction
Another (Yet) coda slider. Image and textual content.
Platform: |
Size: 95232 |
Author: agdfsko |
Hits:
Description: In Year 2011, Khaoula Elagouni performed a work," A Comprehensive Neural-Based Approach for Text Recognition in Videos using Natural Language Processing". This work aims at helping multimedia content understanding by deriving benefit from textual clues embedded in digital videos. For this, Author developed a complete video Optical Character Recognition system (OCR), specifically adapted to detect and recognize embedded texts in videos. Based on a neural approach, this new method outperforms related work, especially in terms of robustness to style and size variabilities, to background complexity and to low resolution of the image.
Platform: |
Size: 1711104 |
Author: payal |
Hits:
Description: 采用LDA模型，运用Gibbs采样方法，对多实例多标记图像进行标注-This paper studies the problem of image annotation in a multi-modal setting where both visual and textual information are available. We propose Multimodal Multi-instance Multi-label Latent Dirichlet
Allocation (M3LDA), where the model consists ofa visual-label part, a textual-label part and a labeltopic part.
Platform: |
Size: 432128 |
Author: 瞿林娣 |
Hits:
Description: Query by content, or content-based retri has recently been proposed as
an alternative to text-based retri for media such as images, video and audio.
Text-based retri is no longer appropriate for indexing such media, for several
reasons. Firstly, keyword annotation is labor intensive, and it is not even possible
when large sets of images are to be indexed. Secondly, these annotations are
drawn a predefined set of keywords which cannot cover all possible concepts
images may represent. Finally, keywords assignment is subjective to the person
making it. Therefore, content-based image retri (CBIR) systems propose to
index the media documents based on features extracted their content rather
than by textual annotations. For still images, these features can be color, shape,
texture, objects layout, edge direction, etc.-Query by content, or content-based retri has recently been proposed as
an alternative to text-based retri for media such as images, video and audio.
Text-based retri is no longer appropriate for indexing such media, for several
reasons. Firstly, keyword annotation is labor intensive, and it is not even possible
when large sets of images are to be indexed. Secondly, these annotations are
drawn a predefined set of keywords which cannot cover all possible concepts
images may represent. Finally, keywords assignment is subjective to the person
making it. Therefore, content-based image retri (CBIR) systems propose to
index the media documents based on features extracted their content rather
than by textual annotations. For still images, these features can be color, shape,
texture, objects layout, edge direction, etc.
Platform: |
Size: 2715648 |
Author: silkan_h |
Hits: