graphical representation of data distribution 说明:这个表达更广泛地描述了直方图作为数据分布图形表示的性质。
This paper presents digital image processing and its representation using binary image; grayscale, color images with the help of additive color mixing, subtractive color mixing, and histogram. It is adoi:10.1007/978-81-322-2526-3_37Vaka Murali Mohan...
In order to segment the images multi threshold histogram are used. The color image will be coarsely represented using several bins. Coarse representation uses the spatial information from a Histogram based windowing process. K-Means is used to cluster the coarse image data. 展开 ...
In Lightroom, a histogram is a graphical representation of the tonal distribution in an image. It displays the distribution of pixels based on their brightness values, from pure black (shadows) on the left side of the histogram to pure white (highlights) on the right side. The horizontal axi...
Jiaqi Wang, Bo Ou, in Journal of Visual Communication and Image Representation, 2024 2.3 Histogram shifting for video RDH In the image field, histogram shifting technique can be classified as one-dimensional (1D) histogram [39–41], two-dimensional (2D) histogram [42–44], three-dimensional ...
AK Tiwari,V Kanhangad,RB Pachori - 《Signal Processing Image Communication》 被引量: 3发表: 2017年 A New Method for Color Feature Representation of Color Image in Content-Based Image Retrieval - 2D Projection Maps The most popular technique for image retrieval in a heterogeneous collection of co...
An image histogram is a representation of an image that describes its color tones distribution. The histogram contains a series of bins that represent the possible values for each color channel. For example, each channel of an 8-bit image contains 256 histogram bins. Each bin contains...
histogram-based methodholistic templatesimage sequenceslocal representationsIn this paper we propose a robust object tracking algorithm based on a sparse ... W Zhong,H Lu,MH Yang - 《IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society》 被引量: 269发表: 2014...
In more complicated cases, the global histogram may not be a good representation for local statistics in two parts of the image. In such cases it is best to use an adaptive histogram equalization where you can divide the image into several rectangular domains, compute an equalizing histogram and...
Postprocessing approaches Hossein Bonakdari, ... Joseph D. Ladouceur, in Machine Learning in Earth, Environmental and Planetary Sciences, 2023 3.3.4 The histogram The histogram is a representation that approximates the distribution of the numerical values. In this representation tool, the range of...