找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Image Analysis; 14th Scandinavian Co Heikki Kalviainen,Jussi Parkkinen,Arto Kaarna Conference proceedings 2005 Springer-Verlag GmbH Germany

[復(fù)制鏈接]
樓主: Guffaw
11#
發(fā)表于 2025-3-23 10:42:40 | 只看該作者
12#
發(fā)表于 2025-3-23 17:51:20 | 只看該作者
13#
發(fā)表于 2025-3-23 21:10:37 | 只看該作者
14#
發(fā)表于 2025-3-24 00:15:14 | 只看該作者
Feature Extraction for Oil Spill Detection Based on SAR Imagested results. Both traditional region descriptors, features tailored to oil spill detection and techniques originally associated with other applications are evaluated. Experimental results show an increase from 89% to 97% in the number of suspected oil spills detected.
15#
發(fā)表于 2025-3-24 06:14:28 | 只看該作者
16#
發(fā)表于 2025-3-24 09:01:18 | 只看該作者
Biometric Recognition: How Do I Know Who You Are?services. The purpose of such schemes is to ensure that the rendered services are accessed only by a legitimate user, and not anyone else. Examples of such applications include secure access to buildings, computer systems, laptops, cellular phones and ATMs. In the absence of robust person recognitio
17#
發(fā)表于 2025-3-24 10:43:56 | 只看該作者
Paving the Way for Image Understanding: A New Kind of Image Decomposition Is Desiredcognition tasks. Generally image understanding assumes interplay of two sub-processes: image information content discovery and image information content interpretation. Despite of its widespread use, the notion of “image information content” is still ill defined, intuitive, and ambiguous. Most often
18#
發(fā)表于 2025-3-24 16:51:26 | 只看該作者
Levelset and B-Spline Deformable Model Techniques for Image Segmentation: A Pragmatic Comparative Sttween some deformable model methods have already been published [1]. Yet, very few experimental comparative studies on real data have been reported. In this paper, we compare a levelset with a B-spline based deformable model approach in order to understand the mechanisms involved in these widely use
19#
發(fā)表于 2025-3-24 22:12:54 | 只看該作者
Steerable Semi-automatic Segmentation of Textured Imagesand textured images. The main contribution lies in incorporating new functions handling colour and texture information into the graph representing an image, since the previous method works for grayscale images only. The suggested method is semi-automatic since the user provides additional constraint
20#
發(fā)表于 2025-3-25 02:03:31 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-2-4 23:14
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
阳朔县| 江山市| 东方市| 太白县| 海口市| 公主岭市| 上栗县| 武陟县| 嘉祥县| 彰化市| 南川市| 土默特左旗| 稻城县| 襄城县| 车险| 湘潭市| 新疆| 卢氏县| 黎川县| 石棉县| 黎城县| 磐安县| 通江县| 嘉义县| 三明市| 红河县| 曲周县| 杭州市| 仙桃市| 永靖县| 读书| 黔南| 沙雅县| 沂源县| 邹城市| 泌阳县| 封丘县| 三门峡市| 崇信县| 康乐县| 芦山县|