• 沒有找到結果。

[PDF] Top 20 Texture features for dct-coded image retrieval and classification

Has 10000 "Texture features for dct-coded image retrieval and classification" found on our website. Below are the top 20 most common "Texture features for dct-coded image retrieval and classification".

Texture features for dct-coded image retrieval and classification

Texture features for dct-coded image retrieval and classification

... )LJ  VKRZV WKH UHWULHYDO SHUIRUPDQFH DV D IXQFWLRQ RI QXPEHU RI SDWWHUQV UHWULHYHG DW WKH VDPH IHDWXUH YHFWRU OHQJWK   ×  IRU WKH YDULRXV WH[WXUH IHDWXUHV ,Q WKH FRQYHQWLRQDO '[r] ... See full document

4

Image retrieval and classification using adaptive local binary patterns based on texture features

Image retrieval and classification using adaptive local binary patterns based on texture features

... proposed for image retrieval and ...on texture features for local binary patterns. The texture features were used to propose an adaptive local binary ... See full document

9

Texture classification using fuzzy uncertainty texture spectrum

Texture classification using fuzzy uncertainty texture spectrum

... theory; Texture classification; Uniform surface uncertainty ...Introduction Texture analysis is an import technique in image ...of texture analysis is the extraction of texture ... See full document

8

SPLINE WAVELETS BASED TEXTURE FEATURES FOR IMAGE RETRIEVAL

SPLINE WAVELETS BASED TEXTURE FEATURES FOR IMAGE RETRIEVAL

... effective texture feature is very important for accurate image retrieval with less computational ...based texture features, mean and standard deviation of the magnitudes of ... See full document

1

Extracting color features and dynamic matching for image data-base retrieval

Extracting color features and dynamic matching for image data-base retrieval

... ing, image data-base ...workstations and network technol- ogy has made visual communication service more and more ...remote image data ...indexing and retrieval of image ... See full document

12

On Extracting Color-Size Features for Image Classification

On Extracting Color-Size Features for Image Classification

... the classification can build a bridge to connect the low level features and the semantic information in the ...visual features will be important because we can get them from images ...visual ... See full document

8

Image descreening by GA-CNN-based texture classification

Image descreening by GA-CNN-based texture classification

... terminated and the selected screening pattern can be applied for the screenings classification in the screened ...(a) and (b) both have smaller index values than the screening pattern ...their ... See full document

13

Region-based image retrieval using color-size features of watershed regions

Region-based image retrieval using color-size features of watershed regions

... example image according to their requirements ...extraction, image/region representation, and image/region similarity ...visual features, called color-size feature, which embeds ... See full document

11

Progressive Image Segmentation  by Wavelet Transform for Content-Based Image Retrieval

Progressive Image Segmentation by Wavelet Transform for Content-Based Image Retrieval

... RGB001 and RGB002 pictures are trademarks and RGB001 is ...1 and level 2. For simple natural pictures having clear boundaries and few objects, like RGB003 and RGB004, the ... See full document

8

A context-based approach for color image retrieval

A context-based approach for color image retrieval

... layout, texture and shape to do image ...an image are ...an image is not considered. Texture features derived from the second-order statistics are suitable only for ... See full document

18

Color Image Retrieval Technique Based on Color Features and Image Bitmap

Color Image Retrieval Technique Based on Color Features and Image Bitmap

... For the purpose of effectively retrieving more similar images from the digital image databases, this paper uses the color distributions, the mean value and the standard deviation, to r[r] ... See full document

1

An Image Retrieval Method Based on Color-Complexity and Spatial-Histogram Features

An Image Retrieval Method Based on Color-Complexity and Spatial-Histogram Features

... feature and the information about the dimensional position of pixels in an image to record the distribution of the pixels' colors that are present in different spatial positions within an ...other ... See full document

1

6. Matching and Learning for Image Retrieval

6. Matching and Learning for Image Retrieval

... Matching and Learning for Image Retrieval As mentioned in the previous chapter, two approaches could be potential to solve the problem of semantic gap in image retrieval: (i) ... See full document

10

TEXTURE CLASSIFICATION USING MORPHOLOGICAL GRADIENT TEXTURE SPECTRUM

TEXTURE CLASSIFICATION USING MORPHOLOGICAL GRADIENT TEXTURE SPECTRUM

... Recently, spatial texture spectrum concept introduced by He and Wang was successfully applied in texture classification,8 texture edge detection,9 and for some geological applications us[r] ... See full document

10

Eigenregions for image classification

Eigenregions for image classification

...  Eigenregions are geometrical features Eigenregions are geometrical features encompass area, location and shape. encompass area, location and shape[r] ... See full document

13

Window-size determination for granulometrical structural texture classification

Window-size determination for granulometrical structural texture classification

... 4. Texture primitive and window size. In a pixel classification application, the selection of a window size W will affect the training results of a maximum likelihood ...a texture image ... See full document

8

Photo Editors' Search Tactics and Moves for Image Retrieval

Photo Editors' Search Tactics and Moves for Image Retrieval

... tactics and moves during their searching for ...newspaper and magazine companies using the Associated Press Photo Archive Database to retrieve specific, general, and subjective ...tactics ... See full document

14

Wavelet tree classification and hybrid coding for image compression

Wavelet tree classification and hybrid coding for image compression

... EZW and its improved version SPIHT have been developed by taking advantage of the following hypothesis: if a wavelet coefficient is insignificant with respect to a given threshold, then all the corresponding ... See full document

5

An Object Query System using HMMD and Texture Features for Photos of Taiwan Wild Birds

An Object Query System using HMMD and Texture Features for Photos of Taiwan Wild Birds

... 相對色彩頻率:將每個顏色頻率除以最高頻 率數,求得相對色彩頻率。此方法亦即求取 正規化後的色彩結構描述子 其中,第一個方法只適用於傳統的色彩直方 圖,因其 BIN 總數並不等於像素總數,因此 CSD 必須採用第二個正規化方法。 正規化之後,即可將物種樣本影像的色彩 結構描述子存入特徵庫中,供查詢系統進行比 對。本研究將實驗比較絕對色彩頻率及相對色 彩結構頻率之系統效[r] ... See full document

11

Semantic Manifold Learning for Image Retrieval

Semantic Manifold Learning for Image Retrieval

... well for category 20 owing to the consistency in the backgrounds, though the underlying semantic concept is difficult to be ...local features achieves good performance for category 6 in that the ... See full document

10

Show all 10000 documents...