Genetic Image Network (gin): Automatically Construction of Image Processing Algorithm
نویسندگان
چکیده
A new method for automatic construction of image transformation, Genetic Image Network (GIN), is proposed in this paper. We previously proposed the system of ACTIT (Automatic Construction of Tree-structural Image Transformation). ACTIT constructs tree structured image processing filters using Genetic Programming (GP). Generally, network structure theoretically includes tree structure (i.e. network structure also represent tree structure.). Thus, the description ability of network representation is higher than that of tree structure. In this way, we construct complex image transformations which cannot be constructed by tree structure. We applied GIN to automatically constructing image transformation and compare GIN with ACTIT and show effectiveness of GIN.
منابع مشابه
Improving Brain Magnetic Resonance Image (MRI) Segmentation via a Novel Algorithm based on Genetic and Regional Growth
Background:Â Regarding the importance of right diagnosis in medical applications, various methods have been exploited for processing medical images solar. The method of segmentation is used to analyze anal to miscall structures in medical imaging.Objective:Â This study describes a new method for brain Magnetic Resonance Image (MRI) segmentation via a novel algorithm based on genetic and regiona...
متن کاملFeed Forward Genetic Image Network: Toward Efficient Automatic Construction of Image Processing Algorithm
A new method for automatic construction of image transformation, Feed Forward Genetic Image Network (FFGIN), is proposed in this paper. FFGIN evolves feed forward network structured image transformation automatically. Therefore, it is possible to straightforward execution of network structured image transformation. The genotype in FFGIN is a fixed length representation and consists of string wh...
متن کاملA Modified Grasshopper Optimization Algorithm Combined with CNN for Content Based Image Retrieval
Nowadays, with huge progress in digital imaging, new image processing methods are needed to manage digital images stored on disks. Image retrieval has been one of the most challengeable fields in digital image processing which means searching in a big database in order to represent similar images to the query image. Although many efficient researches have been performed for this topic so far, t...
متن کاملOptimum Drill Bit Selection by Using Bit Images and Mathematical Investigation
This study is designed to consider the two important yet often neglected factors, which are factory recommendation and bit features, in optimum bit selection. Image processing techniques have been used to consider the bit features. A mathematical equation, which is derived from a neural network model, is used for drill bit selection to obtain the bit’s maximum penetration rate that corresponds ...
متن کاملTuning Shape Parameter of Radial Basis Functions in Zooming Images using Genetic Algorithm
Image zooming is one of the current issues of image processing where maintaining the quality and structure of the zoomed image is important. To zoom an image, it is necessary that the extra pixels be placed in the data of the image. Adding the data to the image must be consistent with the texture in the image and not to create artificial blocks. In this study, the required pixels are estimated ...
متن کامل