A medical image quantization method suited for pacs 系統(tǒng)的醫(yī)學圖象量化編碼的算法
A colorful image quantization algorthm supported by vision properties 一種支持視覺特性的彩色圖像量化方法
It designs an algorithm applying 2djtcvq to image quantization , also gives analysis and simulation results of 2d - tcvq in image space domain 設(shè)計了二維tcvq應(yīng)用于圖像編碼量化的算法,給出了二維tcvq在圖像空域的仿真結(jié)果和分析。
It gives three effective coding schemes , firstly it reviews the fundamental theory of vector quantization and its current algorithms , then it analyzes and summarizes characteristics of wavelet image quantization with vq 首先回顧了矢量量化的基本原理和一般算法,對小波變換結(jié)合矢量量化技術(shù)的特點作出分析和總結(jié)。
In the image quantization and enhancement section , the non - linear gray mapping based on histogram specification and the enhancement digital filter in spatial domain is applied to the result digital subtraction images 對于獲得的數(shù)字剪影結(jié)果圖象采用了規(guī)定化直方圖的非線性灰度變換算法,同時對于結(jié)果圖象的增強設(shè)計了空域數(shù)字濾波器。
We use image quantization and image enhancement techniques to preprocess the polsar data . we then use the polarimetric information and fuzzy c - means ( fcm ) clustering algorithm to classify the preprocessed images 我們使用圖像量化和圖像增強技術(shù)對原始sar數(shù)據(jù)進行預(yù)處理;在特征空間中利用極化信息、使用模糊c均值( fcm )算法對預(yù)處理后的sar圖像進行分類。
The content mainly involved in the image pre - processing , which includes de - noise and registration on the live image sequence and the mask image , the digital subtraction arithmetic and the image post - processing , which includes the image quantization and enhancement 內(nèi)容主要涉及數(shù)字剪影中造影片序列和蒙片的預(yù)處理,包括降噪和配準,數(shù)字剪影算法研究以及數(shù)字剪影圖象序列的后處理,包括量化和增強共五個部分。