Image morphing algorithm is a branch of image-based rendering(IBR). Normally

it extracts features and matches features by human-computer interaction. However

there are problems in such human-computer interaction algorithms.When occlusion areas are processed

ghosting and blurring have a great chance to occur which are fatal to image morphing algorithms. All these phenomena lead to poor experimental results in the same scene. The implementations of old-fashioned image morphing algorithms are always complicated and inefficient and usually not suitable for practical application. In order to solve these problems

we propose a novel and efficient image morphing algorithm based on multi-feature fusion in this paper. In spite of marking two relevant images on edges

corners

and rich-texture areas by human-computer interaction

our proposal innovatively extracts multiple-image feature information (such as Surf feature

Harris feature

and Canny feature) with multi-feature fusion matching

which obtains a properly distributed triangle mesh pair with correct correspondence. Then

automatic image interpolation is achieved by the conjunction of triangle mesh and image morphing. We select Surf feature

Harris feature

and Canny feature as basic features. First

we extract these image features from the original image and destination image. Then

we process Surf feature based on Delaunay triangulation to obtain an initial triangle mesh. It is fusion matched with Harris features or other image features. According to this step

an accurate and uniform triangle mesh is acquired. We also define a matching cost function

a feature point of color intensity cost

and a grade matching cost to optimize the matching of features. It improves the accuracy of image feature matching. Finally

the image is transformed based on the acquired triangle mesh to a virtual view image between the original image and destination image. In the conventional image morphing algorithm

the system will take a long time to choose feature points manually which is not suitable for practical application. In our proposal

the step of extracting image features and matching image features is achieved automatically so that it compensates the inefficiency of traditional image morphing algorithms. Compared with the method of human-computer interaction

the performance of our proposal is extremely better in details such as edges

corners

and rich-texture areas. Theoretic analysis and experimental results indicate that automatically extracted and matched image feature method effectively reduces the manual operation

and multi-feature fusion effectively restricts the ghosting produced at edges and occlusion areas in image morphing. Image morphing algorithm is widely used in domains such as special effects in movis and 3D TV. However

the complicated and excessive implementation of traditional image morphing algorithms restricts the range of application. In this paper

a new approach of fusion matching is proposed. During this approach

different types of image features are effectively matched to improve image morphing algorithm. Through the questionnaire survey to the experimental results

91% of the participants think that the algorithm effectively improves the image morphing result. With the proposed approach

image morphing algorithm has great potential in the application of other domains.