Часть VI issn 2072-0297
F-L0 to F-L4 in Tab. 1 represents the 5 fuzzy levels
жүктеу/скачать 1,83 Mb. Pdf көрінісі
|
| F-L0 to F-L4 in Tab. 1 represents the 5 fuzzy levels
of the images from low to high O-G1 Pen A Apple Car Cat Ship O-G2 Pen B Pear Ball Dog Sheep F-L0 X X X X X F-L1 Y X X X X F-L2 Y Y X Y X F-L3 Y Y X Y X F-L4 Y Y Y Y Y X represents that things in O-G1 and O-G2 do not sat- isfy CPI. Y represents that things in O-G1 and O-G2 satisfy CPI. Before fuzzy processing, we can see that all the items do not satisfy CPI. With the increasing of the fuzzy level, more and more images satisfy CPI. Till the end, all the results are Y. Here to dim the images is to unfold the information in dif- ferent hierarchy or aspect of things. With the increasing of the fuzzy level, the subordination range increased too. For ex- ample, an image of an apple, with the increasing of its fuzzy level, may subordinate to apple, fruit, food, thing, objective existence. From the table we can see that the condition which satisfies CPI can always be found in certain hierarchy or as- pect. For each item in Tab. 1 we choose only some single in- formosome to perform the analysis. In reality, informosome usually exists in the form of large amount of informosome clusters. Although single informosome usually embodies only the information of shape and color, the informosome clusters can reflect all kinds of other characteristics. And the non-AV (not audio and video) information can be ob- tained indirectly from the video or audio informosome clus- ters. (Just like the electronic balance enables us to sense the weight with vision.) The larger the informosome clus- ters are the more characteristics and properties it can re- flect. Let's take dark cloud and rain as examples to give a more visual illustration about CPI of IC (informosome clus- ters). The correlative degree between dark cloud and rain in object shape is low. However IC can change the correl- ative degree that CPI brings among informosome. With IC formed under the effects of time similarity and spatial sim- ilarity the correlative degree is so enhanced that we think of rain at the sight of dark cloud and vice versa. The larger ICs are, the powerful the cognition and logic ability of the system will be. The interrelationship among all things can be established and expressed by similarities in computing. In order to make it convenient for computer to operate and process, we di- vided the similarities of things into 3 varieties: appearance similarity, time similarity, spatial similarity. And each simi- larity was divided into direct and indirect similarity. The direct similarity and indirect similarity are relative to the perceptive mode and perceptive intensity. That's to say; the direct simi- |