一個索貝爾圖像邊緣檢測算法描述-----外文翻譯.doc
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一個索貝爾圖像邊緣檢測算法描述-----外文翻譯,英文：21000字符中文：5600漢字摘要：圖像邊緣檢測是一個確定圖像邊緣的過程，在輸入的灰度圖中的各個點尋找絕對梯度近似級對于邊緣檢測是非常重要的。為邊緣獲得適當(dāng)?shù)慕^對梯度幅度主要在與使用的方法。sobel算子就是在圖像上進(jìn)行2-d的空間梯度測量。轉(zhuǎn)換2-d像素列陣到性能統(tǒng)計數(shù)據(jù)集提高了數(shù)據(jù)冗余消除，因此，作為代表的...
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英文：21000字符
中文：5600漢字
摘要：圖像邊緣檢測是一個確定圖像邊緣的過程，在輸入的灰度圖中的各個點尋找絕對梯度近似級對于邊緣檢測是非常重要的。為邊緣獲得適當(dāng)?shù)慕^對梯度幅度主要在與使用的方法。Sobel算子就是在圖像上進(jìn)行2-D的空間梯度測量。轉(zhuǎn)換2-D像素列陣到性能統(tǒng)計數(shù)據(jù)集提高了數(shù)據(jù)冗余消除，因此，作為代表的數(shù)字圖像，數(shù)據(jù)量的減少是需要的。Sobel邊緣檢測器采用一對3×3的卷積模板，一塊估計x－方向的梯度，另一塊估計y－方向的梯度。Sobel檢測器對于圖像中的噪音很敏感，它能有效地突出邊緣。因此，Sobel算子被建議用在數(shù)據(jù)傳輸中的大量數(shù)據(jù)通信。
關(guān)鍵詞：圖像處理，邊緣檢測，Sobel算子，通信數(shù)據(jù)，絕對梯度幅度。
Abstract Image edge detection is a process of locating the edge of an image which is important in finding the approximate absolute gradient magnitude at each point I of an input grayscale image. The problem of getting an appropriate absolute gradient magnitude for edges lies in the method used. The Sobel operator performs a 2-D spatial gradient measurement on images. Transferring a 2-D pixel array into statistically uncorrelated data set enhances the removal of redundant data, as a result, reduction of the amount of data is required to represent a digital image. The Sobel edge detector uses a pair of 3 x 3 convolution masks, one estimating gradient in the x-direction and the other estimating gradient in y–direction. The Sobel detector is incredibly sensitive to noise in pictures, it effectively highlight them as edges. Hence, Sobel operator is recommended in massive data communication found in data transfer.
Keywords: Image Processing, Edge Detection, Sobel Operator, Data Communication and
Absolute Gradient Magnitude.
中文：5600漢字
摘要：圖像邊緣檢測是一個確定圖像邊緣的過程，在輸入的灰度圖中的各個點尋找絕對梯度近似級對于邊緣檢測是非常重要的。為邊緣獲得適當(dāng)?shù)慕^對梯度幅度主要在與使用的方法。Sobel算子就是在圖像上進(jìn)行2-D的空間梯度測量。轉(zhuǎn)換2-D像素列陣到性能統(tǒng)計數(shù)據(jù)集提高了數(shù)據(jù)冗余消除，因此，作為代表的數(shù)字圖像，數(shù)據(jù)量的減少是需要的。Sobel邊緣檢測器采用一對3×3的卷積模板，一塊估計x－方向的梯度，另一塊估計y－方向的梯度。Sobel檢測器對于圖像中的噪音很敏感，它能有效地突出邊緣。因此，Sobel算子被建議用在數(shù)據(jù)傳輸中的大量數(shù)據(jù)通信。
關(guān)鍵詞：圖像處理，邊緣檢測，Sobel算子，通信數(shù)據(jù)，絕對梯度幅度。
Abstract Image edge detection is a process of locating the edge of an image which is important in finding the approximate absolute gradient magnitude at each point I of an input grayscale image. The problem of getting an appropriate absolute gradient magnitude for edges lies in the method used. The Sobel operator performs a 2-D spatial gradient measurement on images. Transferring a 2-D pixel array into statistically uncorrelated data set enhances the removal of redundant data, as a result, reduction of the amount of data is required to represent a digital image. The Sobel edge detector uses a pair of 3 x 3 convolution masks, one estimating gradient in the x-direction and the other estimating gradient in y–direction. The Sobel detector is incredibly sensitive to noise in pictures, it effectively highlight them as edges. Hence, Sobel operator is recommended in massive data communication found in data transfer.
Keywords: Image Processing, Edge Detection, Sobel Operator, Data Communication and
Absolute Gradient Magnitude.
