| Patent application number | Description | Published |
|---|
| 20150242699 | METHOD AND DEVICE FOR DETECTING STRAIGHT LINE - The present disclosure relates to a method and a device for detecting a straight line. The method includes: acquiring a Histogram of Oriented Gradients (HOG) feature set for each respective pixel point in an image, wherein the HOG feature set is configured to reflect straight line characteristics of a localized portion where the pixel point locates; determining at least one candidate direction of a straight line to be detected according to the HOG feature sets of the respective pixel points; and detecting a direction and a position of the straight line precisely according to the candidate direction. The present disclosure efficiently avoids the errors caused by binarization, and increases the accuracy of the detection of straight line. | 08-27-2015 |
| 20150248472 | CLUSTERING METHOD, APPARATUS, AND TERMINAL APPARATUS - A clustering method includes obtaining neighbor objects of an object to be visited. The object to be visited has a plurality of neighborhood domains. The method further includes determining whether a number of neighbor objects in at least one of the neighborhood domains is larger than or equal to a predetermined value, clustering the object to be visited into a group if the number of neighbor objects in the at least one of the neighborhood domains is larger than the predetermined value, and performing a cluster expansion on directly density-reachable objects in a predetermined neighborhood domain of the object to be visited. | 09-03-2015 |
| 20150261845 | CLUSTERING METHOD AND DEVICE - A clustering method for applying to a plurality of classes each including one or more images as objects, includes: performing an iterative merge on the classes according to inter-class Rank-Order distances; obtaining an intra-class convergence degree of each class obtained by the iterative merge, based on inter-object distances in the class; and grouping, for each class obtained by the iterative merge, objects in the class that have a distance smaller than the intra-class convergence degree of the class into a new class, thereby to perform an update on the classes. | 09-17-2015 |
| 20150262033 | METHOD AND TERMINAL DEVICE FOR CLUSTERING - Embodiments of the present disclosure disclose a method and a terminal device for clustering. The method includes: obtaining a weighted distance between two classes according to a weight coefficient corresponding to an inter-object distance with respect to all classes to be combined; determining whether there are classes that can be combined according to the weighted distance between the two classes and a preset distance threshold; combining all of the classes that can be combined respectively, when the classes that can be combined exist; returning to perform the step of obtaining the weighted distance between the two classes until the number of the classes after combined is the same as the number of the classes before combined; and obtaining a clustering result. The present disclosure improves accuracy of the clustering result. | 09-17-2015 |
| 20150264654 | CONTROL METHOD AND ELECTRONIC DEVICE - The present disclosure provides a control method and an electronic device. The electronic device comprises a first body, a second body and a sensor unit. The first body has a first communication unit, the second body has a second communication unit, the first body and the second body communicate with each other through the first and second communication units. A relative position between the first body and the second body is changeable. The method comprises: detecting a positional relation between the first body and the second body, determining a distance parameter between the first and second communication units based on the positional relation, and adjusting power of each of the first and second communication units based on the distance parameter between the first and second communication units. | 09-17-2015 |
| 20150317800 | METHOD AND DEVICE FOR IMAGE SEGMENTATION - The present disclosure provides an image segmentation method and device. The image segmentation method comprises: establishing a saliency model of an image; obtaining foreground sample points and background sample points of the image according to the saliency model; establishing a foreground and background classification model according to the saliency model, the foreground sample points and the background sample points; and segmenting the image according to a predefined graph cut algorithm which segments the image by using the foreground and background classification model and edge information related to pixels in the image. A problem that a user needs to manually and roughly select the foreground sample points and the background sample points and thus the segmentation efficiency is low for segmenting a large number of images is solved. | 11-05-2015 |
| 20150332439 | METHODS AND DEVICES FOR HIDING PRIVACY INFORMATION - A method for a device to hide privacy information is provided. The method includes: recognizing a piece of privacy information in an image; identifying an information category corresponding to the piece of privacy information; and performing hiding processing to the piece of privacy information in the image based on the information category. | 11-19-2015 |
| 20150371367 | METHOD AND TERMINAL DEVICE FOR RETARGETING IMAGES - The present disclosure relates to a method and a terminal device for image retargeting, and belongs to the computer technical field. The method includes: establishing a saliency model for an original image; calculating a saliency value of each pixel point in the original image based on the saliency model; and retargeting a target image according to the saliency value of each pixel point, original resolution of the original image and target resolution of the target image. Thus, the present disclosure may solve the problem of complicated analysis process and huge calculation amount caused by analyzing image contents of the original image to obtain important pixel points. Consequently, technical effects of reducing calculation amount may be achieved. | 12-24-2015 |
