There is significant difference in the imaging features of infrared image and color image, but their fusion images also have very good complementary information. In this paper, based on the characteristics of infrared image and color image, first of all, wavelet transform is applied to the luminance component of the infrared image and color image. In multi resolution the relevant regional varia...

A new secure image transmission technique is proposed, which transforms automatically a given large-volume secret image into mosaic image of the same size. The mosaic image, which looks similar to an arbitrarily selected target image and may be used as a camouflage of the secret image, is yielded by dividing the secret image into blocks and transforming their color characteristics to be those o...

In this paper, we propose an original approach in order to improve the results of color im-age segmentation by pixel classification. We define a new kind of color space by selecting a setof color components which can belong to any of the different classical color spaces. Suchspaces, which have neither psycho-visual nor physical color significance, are named hybridcolor space...

Color histogram is an important technique for color image database indexing and retrieving. However, the main problem with color histogram indexing is that it does not take the color spatial distribution into consideration. Previous researches have proved that the effectiveness of image retrieval increases when spatial feature of colors is included in image retrieval. In this paper, two new des...

In this study, a method based on using image processing and artificial neural network is introduced to determine pelt color and curl size of newborn lambs in Zandi sheep. The data was collected from 300 newborn lambs reared in the Zandi sheep breeding centre of Khojir, Tehran. Primarily, curl size and pelt color of new born lambs was recorded by experienced appraisers, and at the same time, sev...

One of the most important tasks of an image analysis system is image segmentation, the identification of homogeneous regions in an image. In the literature several methods for segmentation are distinguished. Common are edge detection, split and merge, region growing and clustering techniques. Most of the extensive research on image segmentation in the last three decades has been done for gray s...