low-level feature:通常是指图像中的一些小的细节信息,例如边缘(edge),角(corner), 颜色(color),像素(pixels),梯度(gradients)等,这些信息可以通过滤波器、SIFT或HOG获取; hight-level feature:是建立在low level feature之上的,可以用于图像中目标或物体形状的识别和检测,具有更丰富的语义信息。 通常卷积神经网络中...
Mit Patel, Kanu Patel, Keyur Bhrahmbhatt, "Feature based Image retrieval based on clustering, classification techniques using low level image features", International Journal of Advance Engineering and Reasearch Development (IJAERD), volume: 1, issue:5, 2014, pages: 1-9....
Image spam classification based on low-level image features. In: IEEE. Communications, Circuits and Systems (ICCCAS), 2010 International Conference on. [S.l.], 2010. p. 290-293.Chao Wang, Fengli Zhang, Fagen Li, Qiao Liu, "Image spam classification based on low-level image features", ...
Phase congruency is a low-level invariant property of image features. Interest in low-level image invariants has been limited. This is surprising, considering the fundamental importance of being able to obtain reliable results from low-level image operations in order to successfully perform any higher...
and judging metallicity. Importantly, the performance of these models did not deteriorate when objects were rotated within their simulated scene, with corresponding changes in image properties. We therefore conclude that low-level image features may provide reliable cues for the robust perception of met...
Previous natural image matting algorithms have difficulties with transition regions in the foreground and background, such as tiny and detailed structures like hair. This paper argues that more efficient low-level features can help the network recover details with minor increases in network capacity and...
1. 低阶特徵 许多影像检索技术提出利用不同的低阶特徵(low-level features)与相关的相似度比对法进行内涵式检索;然而,利用低阶特徵距 … ir.lib.isu.edu.tw|基于10个网页 2. 特征 1. 一般情况都把attribute作为中层特征(mid-level features):如下图,他介于底层特征(low-level features)和类别标签之间2. ...
The CBIR problem is motivated by the need to search the exponentially increasing space of image and video databases efficiently and effectively. The visual content of an image is analyzed in terms of low-level features extracted from the image. These primarily constitute color, Shape and texture ...
Full size image Discussion This study systematically investigated the interaction between low-level statistics in natural scenes and perceptual decision-making processes. Results indicate that scene complexity, as indexed by two parameters (SC, CE), modulates perceptual decisions through the speed of infor...
Image retrieval system using R-tree self-organizing map. Most of the retrieval systems concentrate much on low-level features such as color, texture, shape, position, etc. The present system is mainly developed b... VPS Rallabandi,SK Sett - 《Data & Knowledge Engineering》 被引量: 36发表:...