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Intel® Integrated Performance Primitives for Intel® Architecture Intel 使用手册,包含(intel ipp)所有图像处理相关的函数与说明,函数很全,你可以下载查看是不是包含你想用的函数,(intel ipp)提供的库基于Intel CPU,性能很高.-Intel ? IntegratedPerformance Primitives for Intel ? ArchitectureIntel user manual contains (intel ipp) all image processing-related function and that function is very wide, you can download the view was included in the function you want to use, (intel ipp) provided by the Treasury based on Intel CPU, a high performance.
Date : 2025-12-22 Size : 6.13mb User : 金宋杨

对于初学者学习matlab很有帮助,尤其在图像处理方面更是很好的啊。-For beginners learn matlab ® helpful, especially in the image processing is very good.
Date : 2025-12-22 Size : 1kb User : liumingzhu

对于初学者学习matlab很有帮助,尤其在图像处理方面更是很好的啊。-For beginners learn matlab ® helpful, especially in the image processing is very good.
Date : 2025-12-22 Size : 1kb User : liumingzhu

对于初学者学习matlab很有帮助,尤其在图像处理方面更是很好的啊。-For beginners learn matlab ® helpful, especially in the image processing is very good.
Date : 2025-12-22 Size : 1.14mb User : kenan

对于初学者学习matlab很有帮助,尤其在图像处理方面更是很好的啊。-For beginners learn matlab ® helpful, especially in the image processing is very good.
Date : 2025-12-22 Size : 21kb User : kenan

Spatial registration of multidate or multisensor images is required for many applications in remote sensing, such as change detection, the construction of image mosaics, DEM generation from stereo pairs, and orthorectifi cation. Registration is the process which makes the pixels in two images pre- cisely coincide to the same points on the ground. Although the images are then in relative registra- tion, the absolute ground coordinates of the pixels may be unknown. Registration is easier to achieve with imagery that has been previously corrected for sensor and orbit distortions. Once reg- istered, the images can be combined, or fused , in a way that improves information extraction. Examples of fusion include extraction of DEMs from stereo image pairs and compositing of images with different spatial and spectral resolutions.-Spatial registration of multidate or multisensor images is required for many applications in remote sensing, such as change detection, the construction of image mosaics, DEM generation from stereo pairs, and orthorectifi cation. Registration is the process which makes the pixels in two images pre- cisely coincide to the same points on the ground. Although the images are then in relative registra- tion, the absolute ground coordinates of the pixels may be unknown. Registration is easier to achieve with imagery that has been previously corrected for sensor and orbit distortions. Once reg- istered, the images can be combined, or fused , in a way that improves information extraction. Examples of fusion include extraction of DEMs from stereo image pairs and compositing of images with different spatial and spectral resolutions.
Date : 2025-12-22 Size : 257kb User : Hoang Duy

This paper addresses the problem of segmenting an image into regions. We de¯ ne a predicate for measuring the evidence for a boundary between two regions using a graph-based representation of the image. We then develop an e±cient segmentation algorithm based on this predicate, and show that although this algorithm makes greedy decisions it produces segmentations that satisfy global properties. We apply the algorithm to image segmentation using two di® erent kinds of local neighborhoods in constructing the graph, and illustrate the results with both real and synthetic images. The algorithm runs in time nearly linear in the number of graph edges and is also fast in practice. An important characteristic of the method is its ability to preserve detail in low-variability image regions while ignoring detail in high-variability regions.
Date : 2025-12-22 Size : 271kb User : 孔梦秋
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