標(biāo)題: Titlebook: Genetic Learning for Adaptive Image Segmentation; Bir Bhanu,Sungkee Lee Book 1994 Springer Science+Business Media New York 1994 Navigation [打印本頁] 作者: 我沒有辱罵 時間: 2025-3-21 19:32
書目名稱Genetic Learning for Adaptive Image Segmentation影響因子(影響力)
書目名稱Genetic Learning for Adaptive Image Segmentation影響因子(影響力)學(xué)科排名
書目名稱Genetic Learning for Adaptive Image Segmentation網(wǎng)絡(luò)公開度
書目名稱Genetic Learning for Adaptive Image Segmentation網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Genetic Learning for Adaptive Image Segmentation被引頻次
書目名稱Genetic Learning for Adaptive Image Segmentation被引頻次學(xué)科排名
書目名稱Genetic Learning for Adaptive Image Segmentation年度引用
書目名稱Genetic Learning for Adaptive Image Segmentation年度引用學(xué)科排名
書目名稱Genetic Learning for Adaptive Image Segmentation讀者反饋
書目名稱Genetic Learning for Adaptive Image Segmentation讀者反饋學(xué)科排名
作者: 雇傭兵 時間: 2025-3-21 23:48
https://doi.org/10.1007/978-3-531-91870-9n techniques which are used [5] and the domain of application, such as automatic target recognition, photointerpretation, autonomous vehicle navigation, etc., we may be concerned with the segmentation of only the regions of interest or the whole image.作者: 呼吸 時間: 2025-3-22 03:47 作者: Figate 時間: 2025-3-22 05:58
Simultaneous Optimization of Global and Local Evaluation Measures,n techniques which are used [5] and the domain of application, such as automatic target recognition, photointerpretation, autonomous vehicle navigation, etc., we may be concerned with the segmentation of only the regions of interest or the whole image.作者: 嘲弄 時間: 2025-3-22 09:57
Introduction,e process of identifying edges that correspond to boundaries between objects, and regions that correspond to surfaces of objects in the image. Segmentation of an image typically precedes semantic analysis of the image. Its purposes are [61]:作者: BLA 時間: 2025-3-22 14:01
Image segmentation Techniques,27, 35, 39, 55]. In this chapter, we first briefly discuss techniques based on edge detection, and region splitting and region growing, and then present the details of the . image segmentation algorithm [41, 61] that has been used in this research.作者: BLA 時間: 2025-3-22 19:54
,Basic Experimental Results – Indoor Imagery,a controlled set of images in which we constrain the elements of the scene as well as the environmental conditions. The variation between images is limited to changes in the lighting intensity for these experiments, the position of the light source remains constant. In the next chapter, we will present experiments on outdoor color imagery.作者: Arroyo 時間: 2025-3-22 23:59
,Basic Experimental Results – Outdoor Imagery,re more extensive due to the changing position and intensity of the sun. This movement creates varying object highlights, moving shadows, and many subtle contrast changes. Imagery of this type allows us to monitor the segmentation system’s ability to compensate for changing real-world conditions.作者: Mortar 時間: 2025-3-23 03:52 作者: 否決 時間: 2025-3-23 07:22
0893-3405 recognition, photointerpretation, etc. Allsubsequent tasks, such as feature extraction, object detection, andobject recognition, rely heavily on the quality of segmentation. Oneof the fundamental weaknesses of current image segmentation algorithmsis their inability to adapt the segmentation process作者: Delude 時間: 2025-3-23 10:31 作者: Fermentation 時間: 2025-3-23 14:22
https://doi.org/10.1007/978-3-322-82774-627, 35, 39, 55]. In this chapter, we first briefly discuss techniques based on edge detection, and region splitting and region growing, and then present the details of the . image segmentation algorithm [41, 61] that has been used in this research.作者: RODE 時間: 2025-3-23 18:40
Wirtschaft als Untersuchungsgegenstand,a controlled set of images in which we constrain the elements of the scene as well as the environmental conditions. The variation between images is limited to changes in the lighting intensity for these experiments, the position of the light source remains constant. In the next chapter, we will present experiments on outdoor color imagery.作者: EPT 時間: 2025-3-23 23:08
Wirtschaftende Personen und Institutionen,re more extensive due to the changing position and intensity of the sun. This movement creates varying object highlights, moving shadows, and many subtle contrast changes. Imagery of this type allows us to monitor the segmentation system’s ability to compensate for changing real-world conditions.作者: 肉體 時間: 2025-3-24 04:52 作者: apiary 時間: 2025-3-24 09:14
Book 1994on, photointerpretation, etc. Allsubsequent tasks, such as feature extraction, object detection, andobject recognition, rely heavily on the quality of segmentation. Oneof the fundamental weaknesses of current image segmentation algorithmsis their inability to adapt the segmentation process as real-w作者: BUMP 時間: 2025-3-24 12:55 作者: 青石板 時間: 2025-3-24 15:56 作者: moribund 時間: 2025-3-24 22:01 作者: 遭受 時間: 2025-3-25 02:59
https://doi.org/10.1007/978-3-663-16174-5e system described in Chapter 4. The hybrid search technique combines genetic algorithms with a hill climbing technique. Experimental results are provided that compare the performance achieved in these two systems, the baseline adaptive image segmentation system and the adaptive image segmentation system with a hybrid search scheme.作者: GRILL 時間: 2025-3-25 04:09
Segmentation as an Optimization Problem,omplexity of the objective function, and variations in the objective function caused by changes in the imagery as well as the accepted definition of the function itself. In this chapter, we formulate segmentation as a parameter optimization problem and discuss the choice of genetic algorithms for adaptive image segmentation.作者: acrimony 時間: 2025-3-25 08:30 作者: MAUVE 時間: 2025-3-25 12:40
https://doi.org/10.1007/978-1-4615-2774-9Navigation; algorithms; cognition; computer vision; control; genetic algorithms; image segmentation; learni作者: 爭吵加 時間: 2025-3-25 17:16
Klientelnationen: Der Fall der DDR regions may roughly correspond to objects, parts of objects, or groups of objects in the scene represented by that image. It can also be viewed as the process of identifying edges that correspond to boundaries between objects, and regions that correspond to surfaces of objects in the image. Segment作者: 現(xiàn)代 時間: 2025-3-25 22:12 作者: HAUNT 時間: 2025-3-26 02:24
https://doi.org/10.1007/978-3-8349-8056-4omplexity of the objective function, and variations in the objective function caused by changes in the imagery as well as the accepted definition of the function itself. In this chapter, we formulate segmentation as a parameter optimization problem and discuss the choice of genetic algorithms for ad作者: Type-1-Diabetes 時間: 2025-3-26 05:37 作者: Lipoprotein(A) 時間: 2025-3-26 11:36 作者: Autobiography 時間: 2025-3-26 14:10
Wirtschaftende Personen und Institutionen,4. The images in the database are intended to be more complex than the indoor images used in Chapter 5 and the type of variations between the images are more extensive due to the changing position and intensity of the sun. This movement creates varying object highlights, moving shadows, and many sub作者: Left-Atrium 時間: 2025-3-26 18:37
Wirtschaftende Personen und Institutionen,aditional approach commonly used in the Computer Vision field. In this chapter, we carry out further experiments to evaluate the effectiveness of the baseline adaptive image segmentation technique. In particular, we perform experiments, (a) to compare the baseline adaptive image segmentation system 作者: 糾纏,纏繞 時間: 2025-3-27 00:23 作者: Entrancing 時間: 2025-3-27 01:23
https://doi.org/10.1007/978-3-531-91870-9ich is a combined segmentation quality measure derived from equally weighted sum of the five quality measures. There are times, however, when it is not practical or not acceptable to simply combine global segmentation quality measures (which evaluate segmentation quality of the whole image) with loc作者: mendacity 時間: 2025-3-27 07:57 作者: Sarcoma 時間: 2025-3-27 13:29 作者: mastopexy 時間: 2025-3-27 15:10
Book 1994ristics caused by variable environmental conditions,such as time of day, time of year, weather, etc. Image segmentationperformance is evaluated using multiple measures of segmentationquality. These quality measures include global characteristics of theentire image as well as local features of indivi作者: fallible 時間: 2025-3-27 19:23
The Springer International Series in Engineering and Computer Science382543.jpg作者: 某人 時間: 2025-3-27 23:03
https://doi.org/10.1007/978-3-663-05863-2tually make changes in the executable code of a program. In most of these cases, the adaptation involves changing the condition/action statements of the rules in a production system. Since almost every image segmentation algorithm has parameters to control the segmentation results, we have adopted t作者: 掙扎 時間: 2025-3-28 05:33 作者: Cardioplegia 時間: 2025-3-28 08:04
Introduction, regions may roughly correspond to objects, parts of objects, or groups of objects in the scene represented by that image. It can also be viewed as the process of identifying edges that correspond to boundaries between objects, and regions that correspond to surfaces of objects in the image. Segment作者: 音樂等 時間: 2025-3-28 13:56 作者: CHAR 時間: 2025-3-28 15:09 作者: jeopardize 時間: 2025-3-28 21:57
Baseline Adaptive Image Segmentation Using a Genetic Algorithm,to allow the genetic algorithm to modify a set of control parameters that affect the output of an existing computer vision program. By monitoring the quality of the resulting program output, the genetic algorithm can dynamically change the parameters to achieve the best performance. A second approac作者: 支架 時間: 2025-3-29 01:55 作者: Synchronism 時間: 2025-3-29 03:14 作者: SKIFF 時間: 2025-3-29 10:40
Evaluating the Effectiveness of the BaselineTechnique -Further Experiments,aditional approach commonly used in the Computer Vision field. In this chapter, we carry out further experiments to evaluate the effectiveness of the baseline adaptive image segmentation technique. In particular, we perform experiments, (a) to compare the baseline adaptive image segmentation system 作者: 洞穴 時間: 2025-3-29 11:29 作者: nullify 時間: 2025-3-29 17:18 作者: 自戀 時間: 2025-3-29 19:53
Summary,book provides a learning capability at the low level of the computer vision hierarchy. It is the . image segmentation system to incorporate automated adaptation in a closed loop feedback system where the learning from experience is used to improve the performance. The feedback loop in the adaptive i
