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Description: 该软件是功能强大的图片搜索软件，可以在此软件上进行桌面图片搜索与WEB图片搜索程序的开发。-The software is a powerful image search software, the software on the desktop in the image search and image search program development WEB.
Platform: |
Size: 3335168 |
Author: 金宇轩 |
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Description: 谷歌的图像检索源程序，能提取图像的特征，并用你选择的图像来检索类似的图像。-Google image retrieval source program, can extract the image characteristics, and the image you choose to retrieve similar images.
Platform: |
Size: 3906560 |
Author: zjs |
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Description: 该源码主要实现的是实现了一个基于内容的图像检索系统-Content Based Image Retrieval
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Size: 1626112 |
Author: AlexYang |
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Description: Content-Based Image Retri (CBIR) allows to
automatically extracting target images according to objective
visual contents of the image itself. Representation of visual
eatures and similarity match are important issues in CBIR. In
his paper a novel CBIR method is proposed by exploit the
wavelets which represent the visual feature. We use Haar and
D4 wavelet to decompose color images into multilevel scale and
wavelet coefficients, with which we perform image feature
extraction and similarity match by means of F-norm theory.
Furthermore, we also provide a progressive image retri
strategy to achieve flexible CBIR. We tested five categories of
color images in the experiments. The retri performance of
D4 and Haar wavelet is compared with wavelet histograms in
erms of recall rate and retri speed. Experiment results
reflect the importance of wavelets in CBIR and F-norm theory
along with progressive retri strategy achieves efficient
retri . -Content-Based Image Retri (CBIR) allows to
automatically extracting target images according to objective
visual contents of the image itself. Representation of visual
eatures and similarity match are important issues in CBIR. In
his paper a novel CBIR method is proposed by exploit the
wavelets which represent the visual feature. We use Haar and
D4 wavelet to decompose color images into multilevel scale and
wavelet coefficients, with which we perform image feature
extraction and similarity match by means of F-norm theory.
Furthermore, we also provide a progressive image retri
strategy to achieve flexible CBIR. We tested five categories of
color images in the experiments. The retri performance of
D4 and Haar wavelet is compared with wavelet histograms in
erms of recall rate and retri speed. Experiment results
reflect the importance of wavelets in CBIR and F-norm theory
along with progressive retri strategy achieves efficient
retri .
Platform: |
Size: 2514944 |
Author: santhosh d |
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