Creating Color Image Features Based on Morphology Image Processing

Abstract

The stage of calculating the features of digital images is considered as one of the most important stages used in the construction of recognition and discrimination systems, and the rudder of these systems depends on the values of the features obtained at this stage. In this research, we will discuss a new method for calculating the features of a digital image, regardless of its size or type. This method will be used practically morphological hit and miss operation to detect and count the appearance of certain objects in the image, and these counts will be used to form image features. The proposed method will be efficiently used to create a unique features vector for any image. The size of the features vector will be controlled by the number of structuring elements selected for each image, and for the image features database to be created the number of structuring elements that must be fixed. The proposed method will be capable of detecting any object or shape in the image, also this object must be specified by a structuring element which will be used in the hit and miss operation needed to seek for the object. It will be shown how this method will speed up the process of features extraction by decreasing the features extraction time compared with the K-means clustering method of features extraction. The selected objects can be changed, and the proposed method can be used to find the count of any selected object.

CASDC: A Cryptographically Secure Data System Based on Two Private Key Images

“…All algorithms mentioned above are defined according to multiple characteristics as follows as in [44]- [46]:…”

Improving Average and Median Filters

“…Digital images [1][2][3][4][5][6][7][8][9][10], whether gray or colored, are considered one of the most important types of digital data in circulation, for use in many vital computer applications such as educational, security, banking, medical and many others. The spread of digital images and their widespread use is due to several reasons, the most important of which are [11][12][13][14][15]:…”

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