binary image value 中文意思是什麼
binary image value
解釋
二進制映象值-
Detecting image edge by mathematics morphology is the main goal of this paper. so we introduce origin of mathematics morphology from binary morphology to gray morphology and extensively study its different operators and quality. we happen to find that some mathematics morphological operators have ability of resisting noise, at the same time, all images have certain noise which influence detecting result except ideal image, so our research has practical value
本論文的主要目的是使用形態學的思想進行圖像的邊緣檢測。故而在文章中我們詳細的介紹了數學形態學的起源、發展，並從二值形態學出發到灰度形態學著重研究了數學形態學的膨脹、腐蝕、開運算、閉運算等各種運算和性質。在文章中，我們將邊緣的定義拓展成形態學意義下的邊緣並給出噪聲定義。 -
Based on the svs characteristic analysis of image matrix, a visually recognizable binary image watermark is embedded into maximal singular value coefficient in block - based svd transform domain of the cover image. here we brought forward two primary schemes : one need original signal and the other is blind ( without the original cover ). experimental results show that our schemes can extract reliable copy of the hidden watermark from images that have been significantly degraded or altered through several common geometric distortions and signal processing operations
本文基於圖像矩陣的svd奇異值分解特性分析，提出了在新的svd變換域中進行的數字水印演算法，水印信息嵌入到分塊變換的最大奇異值分量系數中，應用混沌變換加密和空域置換，改善了空域性能，安全性高；利用圖像分塊矩陣的奇異值分解穩定性好的特點，採用圖像內容自適應方法計算水印的嵌入強度，增強了演算法的穩健性；採用二值圖像作為有意義水印進行嵌入和檢測，水印在感知上是可視的。 -
As to feature extraction, it can be divided into two parts because face features can be divided into geometrical features and algebraic features. while extracting geometrical features, the features of eyes, nose, mouth, eyebrows can be gained by some image processes : binary, sharpen, smooth, projection, calculating gradient and so on. in order to extract algebraic features, we can do some mathematical transformation for the digital images such as singular value decomposition, k - l transformation
首先根據人臉圖像二值化圖中頭發塊的輪廓，確定出人臉的一次輪廓；然後在人臉的一次輪廓中以黑塊分析與投影分析相結合的方法定位出人眼，黑塊分析基於圖像的二值特徵以及人眼的幾何特徵，投影分析則基於圖像的灰度特徵進行，它對黑塊分析的結果進行補充；根據定位出人眼信息，取出人臉的二次輪廓；對人臉的二次輪廓進行標準化，獲取人臉的標準圖像。
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